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Context.dev Integrations Library
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Context.dev Pricing Page
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Figma file available
Pricing Page
Context.dev
Pricing Page
Marketing
web research in one API call. — oI Context.dev Products “ -UseCases Y Customers Y Pricing Does Book demo Go to Dashboard Straightforward, transparent pricing Start with 1,000 free credits/mo, no credit card required. © Free Tier For exploring the APIs and testing your first ideas. $0 /month td Developer For side projects, MVPs, and lightweight apps. $19 /month Yearly 2 MONTHS FREE % Pro For production apps and Al agents powered by web data. $99 /month % Growth For growing products that need more data, more often. $299 /month Get Started Start buildit Start Pro Start Grow 1,000 credits/mo No overage 30 API calls per minute Scrape 1,000 pages Up to 100 brand retrievals Pull 10K logos (one-time quota) 10 monitors batch Email support 2 concurrent batches 5 concurrent batches 5 concurrent batches Email support Email + Slack support Priority support Usage alerts Spend controls Scale ® Enterprise For large datasets, bulk scraping, and For teams with custom volume, continuous monitoring. security, and compliance requirements. $499 /month Custom FIND YOUR PLAN BY VOLUME Which plan is the best value for your monthly pages? 1,000,000 credits/mo 2,000,000+ credits/mo Developer up to 50K pages $19 $1.00 per 1,000 credits overage Volume discounts. Era 50K-250K pages $99 700 API calls per minute Growth 250K-650K pages $299 Scrape 1,000,000 pages Custom rate & monitor limits Scale 650K-2M pages $499 Retrieve 100,000 brands SSO / SAML & SCIM provisioning Enterprise beyond 2M pages Custom 100,000 Answers in Fast mode 99.9% uptime SLA 7,500 credits/mo $2.20 per 1,000 credits overage 60 API calls per minute Scrape 7,500 pages 750 Answers in Fast mode Pull 100K logos Ranges assume overage enabled, billed in 1,000-credit blocks. 1 credit per scrape at the base rate. Eligible startups & nonprofits get 30% off an annual paid plan for 12 months. 125,000 credits/mo $1.80 per 1,000 credits overage 200 API calls per minute Scrape 125,000 pages Retrieve 12,500 brands 12,500 Answers in Fast mode Pull 2.5M logos 1,000 monitors 10,000 monitors 20 concurrent batches SSO / SAML Priority + Slack support Custom usage alerts Powering products and agents at Omintlify Ochatwoot 99 500,000 credits/mo $1.40 per 1,000 credits overage 600 API calls per minute Scrape 500,000 pages 50,000 Answers in Fast mode Pull 5M logos Annual invoicing, MSA / DPA Dedicated Slack channel Custom support & implementation help Apply for the discount > 99 ¥Super.com passionfroot © similarweb Klarna. 99 99 99 99 99 Ferndesk DocsBet daily sev ViZZY 8 Squad One balance. Every API. scrape uses 1 credit. Here’s what each API costs. API Credits Scrape ” From 1 credit per call Map URLs 7 From 1 credit per call Crawl Website 7 1 credit per page Search Web 7 Answers 7 Retrieve Brand ” Search Brands 7 From 1 credit per call From 10 credits per call 10 credits per call 1 credit; free on Pro, Growth, and Scale Retrieve Brand Search Brands 7 Extract Styleguide 7” Enrich Person Search News Parse File 7 FAQs Frequently asked Everything you need to know about integrating and scaling with context.dev. Is there a free tier? ap How do API credits work? ap Which plan should I choose? + Do you offer discounts for startups or nonprofits? aF Are there extra fees for JS rendering, anti-bot bypass, or premium proxies? What are the rate limits, and how can I increase them? + How fresh is the brand data? How often is it updated? + What if I need additional data points? + When should I talk to sales? + Backed by Combinator Web data infrastructure for AI agents. Scrape anything. Get answers. Keep your data fresh. © X in Product Developers 10 credits per cal 1 credit; free on Pro, G 10 credits per cal 20 credits per match From 1 it per call it per call From 1 What's the difference between API credits and Logo Link? * What pricing plans are available, and can I make one- n time lookups instead of subscribing? Do you offer annual billing? + Am I billed for failed requests? aP What happens when my API credits run out? + Why am I getting timeout errors? + Do you support subdomains? + What SDKs are available? + How can my agent sign up? aF soc a © operational Resources Company Scrape anything Answers from the web Map domains Retrieve brand data Run batches Create monitors Pricing © 2026 Context.dev Documentation Playground Integrations & SDKs MCP Server CLI Changelog Blog Customers Use Cases Compare Alternatives Free Tools Glossary Startups & nonprofits RL Research Grants Datasets Built with @ in San Francisco Contact Affiliates Trust Center Request Brand Update Terms DPA Privacy >
Data Extraction
Data APIs
Developer Tools
true
Context.dev Use Cases
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Context.dev Features Page
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Figma file available
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Context.dev Landing Page
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Figma file available
Landing Page
Context.dev
Landing Page
Marketing
oducing /answers: web research in one API call — of Context.dev Products Customers Book demo Go to Dashboard Backed by {J Combinator The web {context} API for agents One API for agents to scrape, search, monitor, and collect data from the web. Onboardyouragent * © Uv G scrape anything # Research Crawl © Map © ‘Brand st oe Powering products and agents at 99 99 99 ¥Super.com Jmintlify Ochatwoot Klarna. 99 99 99 99 99 99 Ferndesk DocsBet ViZZY compa 83 squad ® https://context.dev We b data you r Markdown JSON Screenshot Brand Styleguide product can use. Get clean content, sourced answers, and Web data API for AI agents Web scraping, data, and search brand data from the web. Explore the APIs > Products 1 2 3 4 infrastructure for AI products. 5 6 7 Scrape, answers, and brand data 8 - Map, batches, and monitors Scrape anything > Retrieve brand data > Run batches > Create monitors > Clean content from any URL. Logos, colors, and company data. Scrape thousands of URLs. Watch pages for changes. @ AGENTIC SETUP Set it up your way. Do it yourself in the dashboard, or let your AI agent handle the whole thing. Do it yourself Let your agent do it | 1. Sign up and verify your email. Paste one line into your coding agent. It connects Context.dev to the agent or builds it into your app, and handles signup and your 2. Copy your API key from the dashboard. API key. 3. Install the SDK and start calling the API. Use curl to read , then follow it to set up Context.dev for me. Get API Key G Copy Agent Setup @ FOR AI NATIVE PRODUCTS The {APIs} powering your next feature Get answers from the web, scrape and map websites, retrieve brand data and style guides, run batches, and monitor changes through one API. & Scrape anything Get Markdown, HTML, screenshots, @ — Scrape anything Get Markdown, HTML, screenshots, images, or structured fields from any URL. Answers from the web research questior structured Map domains domain, URLs with titles and descriptic available Retrieve brand data formats: { markdown: html: screenshot: 3, sharedParams: 3); and the de rom one domain. Extract style guide Scrape anything ELS © Tryin Cursor { mainContentOnly: console. log ; console. log data) ; Run batches Scrape thousands of URLs or crawla site in the ba naschedule > your webhook. From web scraping to answers and automation. Scrape, research, enrich, and keep up with the web. Build these workflows with one API. Scrape Anything Turn webpages and PDFs into Markdown, HTML, structured fields, images, and screenshots. Get the formats your product needs in one request. ® Webpages & PDFs Markdown HTML JSON ‘Screenshot # Web data API for AI agents search infrastructure for AI products. Images Example outputs Web scraping, data, and Y Multiple formats, one request Run deep research on demand Answer "tell me about this company" with actual sources. Resolve a domain to a typed brand profile, then use Answers to research the company in your JSON shape. notion.com The Al workspace Ww Notion Software (828) 2013 Workspace notion.com Enrich any entity your agent sees Connect company references and person identifiers to useful context. Retrieve brand profiles, enrich people, and bring both into your agent’s workflow. Make something people want. Y Combinator Startup accelerator helping founders bu Startup accelerator Funding the future 2 San Francisco, CA Run batches at scale Scrape thousands of URLs in one job. Process large URL lists or crawl entire sites, then collect results when the batch completes. Example batch - Markdown © Running 25,000 URLs 78.7% 19,680 complete 5,320 remaining One dataset Paginated results > Large URL lists - Full-site crawls Ground RAG in fresh content Collect pages with Scrape and Crawl, add documents with Parse, and use Monitors to refresh changed sources in your retrieval index. acme .com/blog/re markdown —> your embeddings @ KNOWLEDGE BASE Autofill onboarding forms Cut signup friction and drop-off. Pre-fill company fields from a work email domain so users finish onboarding faster and more of them activate. 5 fields filled Linear Developer Tools Issue tracking for modern teams v Get answers from the web Ask a research question and get a structured answer with source URLs. Give your agent findings it can use and evidence it can follow. Q What are Linear's main product features? Structured answer Example response [ "Issues", "Projects", "Roadmaps" Sources © © Monitor the web Watch pages for changes on a schedule. Track pricing, content, and new pages, then send updates straight to your application. example.com/pricing Team plan Monthly biting $24 Unlimited projects Shared workspaces Priority support Pricing changed Webhook sent > Checks every 6 hours Example monitor Paginated results > ‘One dataset Large URL lists - Full-site crawls @ INTEGRATE IN SECONDS Get web data into your product in just three steps Get API key Pricing changed Webhook sent > Checks every 6 hours Example monitor Choose the data your product needs Pick from web content, brand, company, and website APIs, all under one key. Connect it to your workflow Integrate in minutes with developer-friendly SDKs, clear docs, and example code. Ship the feature Power onboarding, enrichment, AI agents, and automation with live web data. @ ONE PLATFORM - THREE SURFACES Scrape any URL. Crawl any site. Extract any data point. Web scraping to clean markdown, structured data extraction with AI, typed brand intelligence on any company, and a one-line logo embed, all from the same REST API. Scrape anything - Crawl website API Screenshot API - Logo API @® WEB EXTRACTION Scrape anything. Choose your formats. HTML scraping API Brand colors API Map URLs Image scraper API Styleguide API - Font API Get Markdown, HTML, images, screenshots, bytes, and structured fields from one Scrape call. Add Map, Crawl, and Answers as your workflow grows. example. com/pricing # Example pricing POST /v1/web/scrape tHE Starter $19/mo i url: "https: //example.com/pricing', formats: { markdown: true } $ © BRAND INTELLIGENCE Any domain, typed. Resolve a domain, email, ticker, or messy merchant descriptor into a typed company with logos, colors, social profiles, and company details. tracking and project planning for teams. Developer Tools Built for modern teams 2019 San Francisco, CA tHE Team $49/mo # LOGO LINK One <img> tag. Any logo. No API call. No SDK. No backend. Just an image URL served through Logo Link's CDN. + 20K+ DEVELOPERS What developers say Feedback from the engineers shipping with us every day. JOHN ACOSTA NICK KHAMI “As soon as you type in the email, we use Context.dev to collect information about your brand and different logos. Context.dev saves us a lot of time right now.” Founder @ UsePropane.ai “Onboarding couldn't be simpler. Self-serve sign-up gives you an API key immediately, the documentation is thorough, and we were integrating within 10 minutes.” Engineering Manager @ Mintlify Read the case study LUKE RAMSDEN “Getting started is very simple. API docs are great and sign-up is self serve, with an API key generated immediately. Took 10 minutes to start integrating.” CPTO @ Architect (tryarchitect.com) you an API key immediately, the documentation is thorough, and Engineering Manager @ Mintlify Read the case study a) AARON EDWARDS “We're seeing much higher activation rates for our free trials and sign-ups because of it. It's made it a lot simpler for customers to get started with DocsBot and to get to that ‘aha’ value moment very quickly.” SREEJAN “Context.dev preserved full page content and JSON-LD on sites where Firecrawl struggled, provided useful metadata that let us remove much of our custom HTML parsing, and automatically refunded failed batch pages.” Founder @ DocsBot Co-founder @ Zaraftis Read the case study Read the case study Read the case study See how our customers do it From scrappy startups to Fortune 500s, teams ship brand- powered features in days instead of quarters. See all customers > Jan 25 Daily.dev Ido Shamun, Co-founder of daily.dev, shares how Context.dev powers their internal enrichment system to verify companies with zero maintenance... Read their story Read their story Engineering deep dives, product updates, and The Blog practical guides for building with brand data. Browser Fingerprinting Explained: Headless Browsers and Anti-Detect Profiles Multi-Site Product Data Extraction with Production Web Scraping Pipelines in Python and Pydantic Python Sep 27, 2026 Sep 27, 2026 Sep 26, 2026 FAQs Frequently asked questions Everything you need to know about integrating and scaling with context.dev. Is there a free tier? + What's the difference between API credits and Logo n Link? How do API credits work? ar What pricing plans are available, and can I make one- n time lookups instead of subscril Which plan should I choose? + Do you offer annual billing? + Do you offer discounts for startups or nonprofits? + Am I billed for failed requests? ap Are there extra fees for JS rendering, anti-bot bypass, a or premium proxies? What happens when my API credits run out? ap a > What are the rate limits, and how can I increase them? Why am I getting timeout errors? 2 7 n How fresh is the brand data? How often is it updated? Do you support subdomains? > What are the rate limits, and how can I increase them? Why am I getting timeout errors? 7 How fresh is the brand data? How often is it updated? Do you support subdomains? What if I need additional data points? What SDKs are available? When should I talk to sales? How can my agent sign uj Ship an agent that actually knows things. Free tier, 10-minute integration, and the same API powering agents at Mintlify, daily.dev, and Propane. No credit card to start. Get API Access Book a call Backed by Combinator soc2 Web data infrastructure for AI agents. ° Scrape anything. Get answers. Keep your data fresh. 8 X im © Allsystems operational Product Developers Resources Company Scrape anything Documentation Blog Contact Answers from the web Playground Customers Affiliates Map domains Integrations & SDKs Use Cases Trust Center Retrieve brand data MCP Server Compare Alternatives Request Brand Update Run batches CLI Free Tools Create monitors Changelog Glossary Pricing Startups & nonprofits RL Research Grants Datasets © 2026 Context.dev Built with @ in San Francisco Terms DPA Privacy >
Data Extraction
Data APIs
Developer Tools
true
Context.dev Billing Settings
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Figma file available
true
Context.dev Usage history
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Figma file available
Usage history
Context.dev
Usage
Product
• Home C • Overview PRODUCTS \ Data APIs › @ Monitors • Batches @ Logo Link WORKSPACE P API Keys olo Usage Team You're on the free plan Upgrade 7 3 Help ‹› Documentation SaaSFrame Q Search logs by input Request Post Post Post Post Post Post Post Post Batch Post Get Get Post Post Post Monitor Post Post Post Post Post Get Post Status • 200 • 200 • 200 • 200 • 200 • 200 • 200 • 200 • 200 • 200 • 200 • 200 • 202 • 400 • 400 • 200 • 201 • 403 • 200 • 200 • 200 • 200 • 200 * 967 credits Usage Monitor your API usage and view detailed request logs. All v Logs Path /webhooks/deliveries /webhooks/deliveries /webhooks/deliveries /webhooks/deliveries /webhooks/deliveries /webhooks/deliveries /webhooks/deliveries /webhooks/deliveries /batch/settlement /webhooks/deliveries /batch/{batch_id} /batch/{batch_id} /batch/submit /batch/submit /batch/submit /monitors/run /monitors /v1/people/enrich / retrieve /web/answers /web/crawl /web/urls /web/scrape Input — — #pricing — saasframe.io https://www.saasframe.io/ https://www.saasframe.io/ https://saasframe.io Showing 1-23 of 23 • Last refreshed a few seconds ago Tags C & API Key C & API Latency Credits <1s <1s <1s <1s <1s <1s <1s <1s 4.00s <1s <1s <1s <1s 42.61s 46.08s 10.25s <1s <1s <1s Time (Central European Time) 10 2.84s 10 19.05s 10 5.71s 3.13s 1 Sep 28, 01:36 Sep 28, 01:36 Sep 28, 01:36 Sep 28, 01:36 Sep 28, 01:36 Sep 28, 01:36 Sep 28, 01:36 Sep 28, 01:36 Sep 28, 01:35 Sep 28, 01:35 Sep 28, 01:35 Sep 28, 01:35 Sep 28, 01:35 Sep 28, 01:34 Sep 28, 01:33 Sep 28, 01:30 Sep 28, 01:30 Sep 28, 01:28 Sep 28, 01:27 Sep 28, 01:27 Sep 28, 01:26 Sep 28, 01:24 Sep 28, 01:23 allo Status C Support
Data Extraction
Data APIs
Developer Tools
true
Context.dev Logo Link dashboard
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true
Context.dev API request details
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Figma file available
true
Context.dev Create a batch
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Figma file available
true
Context.dev Batch scraping empty state
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Figma file available
true
Context.dev Watched page details
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Figma file available
true
Context.dev Create a monitor
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Figma file available
true
Context.dev Watch a page or sitemap empty state
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Figma file available
true
Context.dev Enrich People setup
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Figma file available
true
Context.dev Scrape brand results
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Figma file available
false
Context.dev Crawl Website results
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Figma file available
Crawl Website results
Context.dev
Add & Edit
Product
• Home C ‹ Back WEB EXTRACTION <> Scrape Anything • Map URLs @ Crawl Website Q Search Web * Answers BRAND INTELLIGENCE ® Retrieve Brand @ Search Brands @ Extract Styleguide PEOPLE & NEWS & Enrich Person El Search News UTILITY € Parse File * 988 credits S SaaSFrame Crawl Website Any site, get clean markdown for every page. Read Docs https://www.saasframe.io/ # Parameters Crawl Website 1 credit per page curl -X POST "https://api.context.dev/v1/web/crawl"\ -H "Content-Type: application/json" \ -H "Authorization: Bearer ctxt_secret_b62e•• -d'e CURL v Open in • * Show Prompt • Copy API Key Preview JSON History • Success • 10 Pages • 0 failed • O skipped • 1 max depth • 10 credits used • 20.2s • root • / Rendered Markdown 34.3кВ • /categories • /categories/affili... 34.2KB • /categories/blog-t... 32.9KB • /categories/ai-page 31.9KB • /categories/about-... 36.0KB •/categories/academy 31.8KB • /categories/404-pa... 32.6KB • /categories/career... 33.6KB • /categories/blog-f... 33.5KB •/websites • /websites/pages 34.8KB SaaSFrame — UX & UI Design Examples Library for SaaS Websites and Interfaces https://www.saasframe.io/ Depth 0 • HTTP 200 = Navigation identical on all 10 pages, 392... Link Products Categories All screens / Account Setup| | 598 + Add & Edit\ \ 390 ~ Analytics\ \ 75 • Appearance Customization\ \ 16 = Billing\ \ 45 i½ Calendar\ \ 13 © Chat| | 13 v Checklist\ \1 = Checkout\\ 25 Parameters Limits Max Pages 10 Max Depth No limit O limits the crawl to the starting page. URL Regex Filter Crawl only URLs matching this pattern. e.g. /blog Filtering Follow Subdomains G Include subdomains such as docs.example.com. Content Include Links Include Images Main Content Only Remove navigation, headers, footers, and sidebars. Include Frames Include iframe content in Markdown. Completed moments ago Was this useful? Q This endpoint crawls up to 500 URLs per request. Past that, run it as a batch job. Open Batches A
Data Extraction
Data APIs
Developer Tools
true
Context.dev Map URLs results
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Figma file available
Map URLs results
Context.dev
Add & Edit
Product
• Home • a < Back WEB EXTRACTION ‹ › Scrape Anything QD Map URLs 1 Crawl Website Q Search Web * Answers BRAND INTELLIGENCE • Retrieve Brand @ Search Brands @ Extract Styleguide PEOPLE & NEWS & Enrich Person E Search News UTILITY • Parse File s SaaSFrame Map URLs Map all URLs a website has from our index. Read Docs https://www.saasframe.io/ # Parameters Map URLs 1 credit curl -X GET https://api.context.dev/v1/web/urls?domain=https%3A%2F%2Fwww.saasframe.O -H "Authorization: Bearer ctxt_secret_b62e••' CURL v Open in • Show Prompt • Copy API Key Preview JSON History t= 8,455 URLS • 6 With metadata * 1 Credits © 6.3s Time Mapped URLS saasframe. io 8455 URLS 6 with metadata URLS without metadata were just queued for enrichment. Run the same request again in a minute to pick up their titles and descriptions. SaaSFrame - UX & UI Design Examples Library for SaaS Websites and Interf... https://www.saasframe.io Create websites, product interfaces and email sequences for your SaaS faster than ever with our library of 5,000+ real-world UX & UI design exemples. 2. https://www.saasframe.io/pricing https://www.saasframe.io/privacy https://www.saasframe.io/saas https://www.saasframe.io/checklist/saas-marketing-pages-checklist https://www.saasframe.io/sign-in https://www.saasframe.io/terms 8. https://www.saasframe.io/welcome 9. https://www.saasframe.io/patterns 10. https://www.saasframe.io/onboarding What do vou think of this URL map? o Good Q Bad 998 credits Parameters Discovery Include Subdomains Discover pages and sitemaps on subdomains. Filtering Max Links 10000 URL Regex Filter Return only URLs matching this pattern. Ahttps?://[^/]+/blog/ Search O Rank pages by relevance. Costs 2 credits instead of 1. pricing and plans Timeout Request deadline, up to 5 minutes. Headers Custom Headers O + Add header Tracking Tags
Data Extraction
Data APIs
Developer Tools
true
Context.dev Scrape Anything results
Figma logo composed of five colorful rounded shapes forming an abstract letter F.
Figma file available
Scrape Anything results
Context.dev
Add & Edit
Product
• Home C a - Back WEB EXTRACTION <› Scrape Anything Q Map URLs • Crawl Website Q Search Web * Answers BRAND INTELLIGENCE ® Retrieve Brand @ Search Brands @ Extract Styleguide PEOPLE & NEWS & Enrich Person • Search News UTILITY © Parse File S SaaSFrame Scrape Anything Get HTML, Markdown, screenshots, images, bytes, and structured fields in one request. PDFs, DOCX, Excel, and 40+ other file types supported. - Read Docs https://saasframe.io * Parameters Scrape 1 credit per call curl --request POST 'https://api.context.dev/v1/web/scrape' --header 'Authorization: Bearer ctxt_secret_b62e• -header 'Content-Type: application/json' \ CURL v Open in Show Prompt • Copy API Key Preview JSON History € 1 Format * 1 Credits © 4.6s Time © This is a best-effort render of the scraped HTML. Styles, layouts, and interactive elements will appear differently than the original page. = Log in Get started Ul Design inspiration for Saas builders Create websites, product interfaces and email sequences for your Saas faster than ever with our library of 5,000+ real-world UX & Ul design exemples. Explore all screens PAGE METADATA SaaSFrame - UX & UI Design Examples Library for SaaS Websites and Interfaces Create websites, product interfaces and email sequences for your SaaS faster than ever with our library of 5,000+ real-world UX & UI design exemples. Language Canonical https://www.saasframe.io/ Headings 119 Open Graph 4 Twitter JSON-LD What do you think of this scrape data? Good Q Bad 999 credits Parameters Wait For Wait Duration Default Auto: 500 ms; XML or frames: 2 sec. Set 0 to skip. Use Cache O Reuse recent captures. Cache Active for 3 days Timeout 60000 Total time for actions and all outputs. On Timeout O Fail Tracking Tags Label this request to filter it on the Usage page. e.g. production, team-a Privacy Zero Data Retention O Contact [email protected] to enable. MS
Data Extraction
Data APIs
Developer Tools
true
Context.dev Scrape Anything settings
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Figma file available
Scrape Anything settings
Context.dev
Add & Edit
Product
• Home • Q < Back <> Scrape Anything • Map URLs • Crawl Website Q Search Web * Answers ® Retrieve Brand Q Search Brands ® Extract Styleguide & Enrich Person FIl Searcn News © Parse File 1,000 credits Scrape Anything Get HTML, Markdown, screenshots, images, bytes, and structured fields in one request. PDFs, DOCX, Excel, and 40+ other file types supported. • Read Docs https://context.dev curl --request POST 'https://api.context.dev/v1/web/scrape'| --header 'Authorization: Bearer ctxt_secret_b62e•••• --header 'Content-Type: application/json' \ CURL Y Open in • * @ • Result History Ready to scrape Hit Scrape below and every format you selected in Parameters will appear here. try using nttps:/context.aev, nttps.//stripe.com/pricing, or nutps: Scrape 1 creant per cat # Parameters • Copy API Key • SaaSFrame Parameters HTML Markdown Images Bytes Product Main Content Only Include Frames Include Selectors article, #content Exclude Selectors nav, footer Country Auto (default) € Color Scheme Auto C Viewport Width 1440 Viewport Height 900 Dismiss Cookies Dismiss Popups Settle Animations Auto (off) € browser Actions Run steps after page load, before capture. Available on paid plans OCR Recover text Trom scanned FUr pages. Adds 1 credit pe Start Page End Page Last Headers Custom Headers O + Add header Wait For Time C Wait Duration O DeTaul Auto: bOU ms, xML or Trames: ¿ sec. Set U to skip Use Cache O Cache Active for 3 days Timeout Total time for actions and all outputs. 60000 On Timeout O Fail Tags Label this request to filter it on the Usage page. Zero Data Retention O Contact [email protected] to enable.
Data Extraction
Data APIs
Developer Tools
true
Context.dev Overview dashboard
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Figma file available
true
Context.dev Onboarding complete
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Figma file available
true
Context.dev What are you building?
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Figma file available
true
Context.dev How did you hear about us?
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Figma file available
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Context.dev Which agents are you using?
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Context.dev Check your inbox
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Figma file available
true
EigenPal Billing plans and upgrade
false
EigenPal Data retention settings
false
EigenPal Credit and usage analytics
false
EigenPal API endpoint reference
API endpoint reference
EigenPal
Details
Product
* EigenPal Trigger =0 Runs Reviews Monitoring AGENT @ Agents 2 Shared resources WORKFLOW § Workflows • Templates DEVELOPER S Webhooks API Keys Connect {ô} Settings SaaSFrame # Endpoints POST POST POST Start run aol varuns List runs /api/v1/runs Get run /api/v1/Iuns/:id Cancel run /api/v1/runs/:id/cancel Rerun /api/v1/runs/:id/rerun Undete review /api/v1/runs/:id/reviews Promote run /api/v1/runs/:id/promo... List artifacts /api/v1/Iuns/:id/artifa... Download artifact /api/v1/runs/:id/artifa. M Documentation C Connect Start run Start a run. Pass the target and input in the JSON body. Connect to Select workflow or agent & swagger.json https://studio.eigenpal.com/api/v1/runs REQUEST QUERY PARAMS PARAMETER TYPE DEFAULT DESCRIPTION version string latest Release or git ref. walt tor comolezzon integer - aconds to wait before retu 0). Omit for asyn HEADERS API keys P Autnorızatıon. beareı e1g_1Ive_xxxxxxxxxxxxx REQUEST BODY If the automation accepts file inputs, send as multipart/form-data - scalar arguments in the input part, each file as a files. «FieldName> part. target* string input object Automation target without a version suffix, e.g. worktiows.extract-involce or agents.support. Select an automation to preview its inputs. tlles.<tieldName> file overIides obiect metadata obiect Per-step output overrides. Caller metadata. RESPONSE Run accepted (async) 8 Async O Sync Returned when wait_for_completion is mitted. Run accented id* string type* "workflow" finished* false › source object False while in progress; poll GET /api/v1/runs/:id. Version Latest i9 Swagger Ul Code example E CURL curl -X POST "https://studio.eigenpal.com/api/v1/Funs -Antorization: Berer ilive_0000222222021 \ -H "Content-Type: application/json" \ -d '{ "target": "{target}", "input": {} }' Response example JSON "'id": "exec_xyz789abc", "type": "workflow", "finished": false, "source" : { "id": "wf_abc123", "name": "extract-invoice", "version": "3" Response schema JSON Schema "type": "object", "title": "RunAccepted", "properties" : { "id" : { "type": "string" "type": 7 "type": "string", "const": "workflow" "finished!: 1 "type" : "boolean", "const": false, "description": "False while in progress; poll G }, "'source" : { "type": "object", "properties": { "id": { "type": "string" }, "name" : { "type": "string", "nullable": true }, "version": { "type": "string", "nullable": true "'recuired: ( "id" "name" "version" "'adit iona (Properties"; false Dreauired : [ "id", "type", "finished" "adit ona properties"! False
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* EigenPal Trigger = Runs • Reviews Monitoring AGENT • Agents Shared resources WORKFLOW ® Workflows Templates DEVELOPER Es Webhooks P API Keys o Connect {03 Settings M Documentation SaaSFrame v Webhooks / Automation Automation https://studio.eigenpal.com/webhooks STATUS • Healthy Subscribed events • run.created • run.status_changed Custom headers None configured. Events run.stat... Test less than a minute ago Succeeded Enabled & Send test CREATED less than a minute ago SIGNING SECRET + Add header run. status_changed whd1_0831fe31f6d74fb0aeac03681e930169 @ Redeliver STATUS ) Succeeded TIMESTAMPR Sep 21, 2026, 01:22 PM HTTP STATUS HTTP 200 ATTEMPTS Attempts Attempt 1 HTTP 200 1.9s Sep 21, 2026, 01:22 PM <!DOCTYPE htm1><html data-dp1-id="dp1_GUPge1g1H4Nuv8ekZCZ6GKq62DQB" lang="en" class="h-full overflow-hidden"><head> ‹meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="stylesheet" href="/_next/static/chunks/3j1xqr1gq54sn.css?dpl=dp1_GUPge1g1H4Nuv8ekZCZ6GKq62DQB" data-precedence="next"/><link rel="stylesheet" href="/_next/static/chunks/1mh74alovggjw.css?dp1=dp1_GUPge1g1H4Nuv8ekZCZ6GKq62DQB" data- precedence= "next"/><link rel="stylesheet" href="/_next/static/chunks/25uwm1htu6wqf.css? dpl=dpl_GUPge1g1H4Nuv8ekZCZ6GKq62DQB" data-precedence="next"/><link rel="stylesheet" href="/_next/static/chunks/2pop- Message payload "id": "whev_izac7tZgcrSDmXGUh50HN", "data": { "run": { "id": "test_whep_XDBS3J14QT7PdkB0hMzAP_1789989733214", "type": "workflow", "status": "completed", "createdAt": "2026-09-21T11:22:13.214Z", "startedAt": "2026-09-21T11:22:13.214Z" "completedAt": "2026-09-21T11:22:13.214Z" , "triggerType": "manual", "automationId": "test_whep_ХDBS3J14QT7PdkBOhMzAP" }, "currentStatus": "completed", "previousStatus": "Iunning" "test": true, "type": "run. status_changed", "createdAt": "2026-09-21T11:22:13.216Z",
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Hugging Face Q Search models, datasets, users... • Models • Datasets ® Spaces • Buckets new Docs Pricing SaaSFrame SaaSFrame Profile Account Authentication Organizations Billing Downloads Repositories Access Tokens SSH and GPG Keys Inference Providers Webhooks Papers Notifications Jobs Hardware Local Apps Gated Repositories Content Preferences Connected Apps MCP Theme Upgrade to D PRO NEW MCP Server Connect your MCP client and configure which tools are available in your Hugging Face Hub MCP server. + Get PRO to get 40 minutes of daily compute usage on ZeroGPU Spaces (RTX Pro 6000 Blackwell hardware), including via MCP. Setup with your Al assistant * Share feedback • HuggingChat • VSCode • Cursor ® ChatGPT @ Codex > Gemini CLI * Claude * Claude Code • OpenCode LM Studio Other Client Enable in your HuggingChat MCP servers settings, available by default with no configuration needed. • Open HuggingChat to start chatting with 110+ available open weight models. Spaces Tools Any Spaces added here will be instantly available in your MCP client. • Browse MCP Spaces Q Search MCP-compatible Spaces *, mcp-tools/Z-Image-Turbo 7 O • Dynamic Spaces Dynamically call MCP Spaces at runtime Remove Embedded Images Remove embedded images generated by Gradio Spaces Configure Tools The MCP Server gives your assistant access to the Hub- repositories, buckets, papers and more built in. 22 View MCP documentation Contribute Repos Create new Repos and Buckets and upload files to them Sandboxes Experimental Create and use Sandboxes - supports Hub Storage © Hub Repository Search • Hub Repository Details Search for models, datasets and spaces with filters for author, tags etc. Get detailed information about Models, Datasets and Spaces Run and Manage Jobs Run, monitor and schedule jobs on Hugging Face infrastructure • System theme TOS Privacy About Careers Models Datasets Spaces Pricing Docs
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Hugging Face Q. Search models, datasets, users... • Models • Datasets @ Spaces • Buckets NEw L DOCS Pricing = SaaSFrame SaaSFrame Profile Account Authentication Organizations Billing Downloads Repositories Access Tokens SSH and GPG Keys Inference Providers Webhooks Papers Notifications Jobs Hardware Local Apps Gated Repositories Content Preferences Connected Apps MCP Theme Upgradeto C PRO • Documentation • Pay-as-you-go Pay only for seconds used NEW Jobs Run compute jobs on Hugging Face infrastructure with a familiar Docker-like interface! Why Hugging Face Jobs? • Docker-like CLI run, ps, logs, inspect • Any Hardware CPUS to A100S & TPUs © Run Anything Docker, HF Spaces & more + Add Credits to start your own Jobs. • Tip: Install the official HF CLI Skill so your Al agents can manage Jobs directly. Quick Start Examples 1. Install the Hugging Face CLI: Install the CLI curl -LsSf https://hf.co/cli/install.sh | bash Install the CLI (using Homebrew) brew install hf Install the CLI (using uv) uv tool install hf 2. Login to your Hugging Face account: Login hf auth login 3. Create a job using the hf jobs command: Run Python code directly hf jobs run python:3.12 python -c 'print("Hello from the cloud!")' Run a local script with uv hf jobs uv run script.py Use GPUs without any setup hf jobs run --flavor a10g-small pytorch/pytorch:2.6.0-cuda12.4-cudnn9-devel | python -c "import torch; print(torch.cuda.get_device_name ()) " Run a Docker image hf jobs run ubuntu echo 'Hello from the cloud!' Run Python code on a cron schedule hf jobs scheduled run "*/5****" python:3.12 | python -c "import time; print('Hello, it's ' + time.ctime()) " Learn more about Hugging Face Jobs by reading the documentation. •
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* Hugging Face Q Search models. datasets. users... • SaaSFrame/SaaSFrame • V Like 0 # License: bigcode-openrail-m • Model card = tues and versions " xet • community • Models - Datasets e Spaces • Buckets new _ DOCS Pricing == O • Settings cat bucket NeW Public • Mode Access control This model is currently public . Anyone on the internet can see this model. Only you can commit. Storage Usage Large File storage Used Storage overview List Large Files = Rename or transfer this model G All links to this model will automatically redirect to the new location, including git operations. However, to avoid confusion, we recommend updating any existing local clones to point to the new repository URL. To do so, you can use the following command: git remote set-url origin {NEW_URL} New owner new name SaaSFrame v/ New model name understand. move this model Enable Access requests Access requests are currently disabled forthis model. When enabled, users must share their contact information (email and username) and agree to your terms and conditions (if any) in order to access this model. You can download the list of users who have accepted and had access at any time. @ Community contributions Discussions and Pull Requests are currently enabled for this model. Members of the community can propose changes to this repository. Detault sorting in the community lab: Recently created Trusted Publishers Allow CI/CD workflows to push to this repo without long-lived tokens. Disable Discussions and PRs No trusted publishers configured Ado trusted dubusner Webhooks o defined in user settings Digital Object Identifier (DOI) O Generate a Digital Object Identifier for this model. This action cannot be undone. It will no longer be possible to delete, rename, transfer, or change the visibility to private. * Xet storage Xet is HF Hub's new storage technology, offering up to 10x greater performance compared to Git LFS. Xet is currently enabled . Delete this model including weights. Please type SaaSFrame/SaaSFrame to confirm. This action cannot be undone. This will permanently delete the SaaSFrame/SaaSFrame model repository and all its files, I understand, delete this model * Total downloads O (all time) Generate DOI • System theme TOS Privacy About Careers Models Datasets Spaces Pricing Docs
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i Hugging Face Search models, datasets, users... # Models Datasets Spaces ® Buckets new (1) Docs Pricing v= Hugging Face Storage Buckets Store models, datasets, and artifacts with simple per-TB pricing. Built-in CDN, Xet deduplication, and no git overhead. > Create a Bucket Get a Storage package Trusted by more B G than 10,000 A! teams Storage Storage built for Al teams Store models, datasets, and artifacts with simple per-TB pricing. Xet deduplication. Included CDN. No git overhead. v_ Per-TB pricing with built-in CDN and deduplication speedups. v constraints: commit-free sync and fast object updates. v__ Designed for ML workflows: datasets, checkpoints, model artifacts. Xet Technology Next-gen large- scale storage for Al Xet uses content-defined chunking to break files into byte-level chunks and deduplicates across your entire bucket. When you retrain a model and only 5% of weights change, only that 5% is re-uploaded. v Raw + processed dataset: stored once, billed once* vy data per upload, verified with real-world workloads *Requires Enterpris erprise Plus plan Pricing Transparent, volume- based pricing Simple per-TB pricing that scales with usage. Egress and CDN are included at no extra cost. AWS $3 $23 Backblaze Overdrive $15 HF Hub $8-12 Data Storage Assemble training data at any scale Pour raw data from every source into a single bucket: crawls, annotations, synthetic outputs, partner datasets. No git overhead, no commit queues, no file-count limits. When training begins, your data is already there, streamed to GPUs via the included CDN. v Immediate availability on upload, no queued commits v_ Batch API processes thousands of files in a single call Raw+ processed datasets with dedup = no double billing* *Requires Enterp nterprise Plus plan Compute Agnostic Your data, independent of your compute Your data lives in one neutral home, not inside a single cloud. Point training and inference at whichever provider has capacity or the best price, and switch without re-uploading petabytes or paying egress to leave. v_ Train on AWS, GCP, Nebius, or your own cluster from one bucket eco terminal - bash # Create a storage bucket $ hf buckets create acme-corp/training-data v Bucket created: hf://buckets/acme-corp/training-data v Visibility: private - Region: us-east-1 i Sync training data to the bucket $ hf sync ./checkpoints/ hf://buckets/acme-corp/training-data Scanning local files... 12,847 files (2.4 TB) Xet dedup: 62% deduplicated : uploading 912 GB (saved 1.5 TB) 78% 714/912 GB - 2.1 GB/s - ETA 1m 34s TRADITIONAL $3 UPLOAD 8 / 8 chunks uploaded XET UPLOAD 1 / 8 chunks uploaded Gray = already stored - Purple = only the changed chunk Base SOTB+ 20% off $12 /TB/mo $10 /TB/mo Public repositories Public repositories $18 /TB/mo $16 /TB/mo Private re ries Private re 200TB+ 25% off 500TB+ 33% off $9 /TB/mo $8 /TB/mo Public repositories Public repositories $14 /TB/mo $12 /TB/mo Private repositories Private repositories crawl-2026-jan/ synced 48 TB -2.1M files > annotations-v3/ synced 12 TB - 890K files ry synthetic-pairs/ ome 75% 6 TB - 340K files Xet dedup: 66 TB stored > billed for 41 TB* Your buckets one copy hf://buckets/acme - 240 TB aws fay Nebius AWS GcP CoreWeave Lambda Your cluster price, and switcn without re-uptoading petabytes or paying egress to leave. v_ Train on AWS, GCP, Nebius, or your own cluster from one bucket v Never locked to one provider's prices or capacity CDN keeps data next to your GPUs, wherever they run CDN Built-in CDN for blazing fast access Every bucket includes a CDN. Warm localized cache close to where you compute for ultra fast streaming and downloads. Egress is included up to a generous 8:1 ratio of your total storage. v_ Pre-warm cache in any cloud region you need v Our CDN is deployed inside GCP and AWS networks v Egress included up to 8:1 your storage & More providers coming soon Coding Agents Give your coding agents persistent storage Coding agents run in ephemeral environments, but their outputs shouldn't vanish. Checkpoints, benchmark results, generated datasets: one hf sync command in your agent's bash tool is all it takes. v_ Pre-warmed CDN and no git overhead for fast reads and writes v_ Persist artifacts across ephemeral Cl runs and terminal sessions v Install the official HF CLI skill and your agent knows every command 4 AES-256 Encryption Enterprise-grade security at every layer End-to-end encryption at rest and in transit Full visibility into every access event Nebius AWS GcP CoreWeave Lambda Your cluster EU-WEST eco terminal - bash # Agent creates a bucket and syncs experiment outputs @ Bash(hf buckets create training-artifacts-v2) Bucket created: hf://buckets/acme/training-artifacts-v2 @ Bash(hf buckets sync ./experiment_outputs/ hf: //buckets/acme/training-artifacts-v2) L sync plan: ./experiment_outputs/ + hf://buckets/acme/training- artifacts-v2 Uploads: 16 Downloads: 0 @ All done. Bucket acme/training-artifacts-v2 synced (14.3 GB total): - 3 checkpoints (model.safetensors, optimizer.pt, - 6 parquet shards (data/train/ and data/eval/) - 1 training log Bucket is live at hf://buckets/acme/training-artifacts-v2 ° ag 8 SSO & RBAC US & EU Regions Enterprise SSO with role-based access control Choose where your data lives Get started with HF Storage Buckets Start with buckets, sync your Al data, and unlock object storage built for ML workflows. Create a Bucket Get started for free with your first bucket @ system theme Website Models Datasets Spaces Changelog Inference Endpoints HuggingChat @ Get a Storage package Enterprise Simple per-TB pricing that scales with you Dedicated governance and shared quotas at scale Company Resources Social About Learn GitHub Brand assets Documentation Twitter Terms of service Blog LinkedIn Privacy Forum Discord Careers Service Status Press Speed test
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Hugging Face Q, Search models, datasets, users... •B Spaces The Al App Directory *4, Ask anything you want to do with Al Reachy Image Generation Video Generation • Spaces of the week 21 Sep 2026 Running on *ZERO Agents O147 YuE2-3B Music Generator J Generate songs and covers from style prompts and lyrics. O mrfakename 3 days ago Running on ZERO Agents • • 96 Auk 9 Unified speech generation and editing with Auk - tencent 11 days ago 'E All running apps, trending first Running on & ZERO @ Agents ° 557 MiniMax H3 Turbo LoRA ≥ Video generation with a synchronized soundtrack 15 Pepe104 Aug 16 Running on ZERO Agents • 147 YuE2-3B Music Generator J Generate songs and covers from style prompts and lyrics. • mrfakename 3 days ago Running on & ZERO ® MCP ° 263 QIE-2511 Rapid-AIO LoRAs Fast (Experimental) Demo of the Collection of Qwen Image Edit LORAS • aet256 May 19 Running on CPU UPGRADE © 2.67k Omni Image Editor Image edit, text to image, image upscale, remove watermark • selfit-camera Aug 20 Running on & ZERO © 3.14k Wan2.2 14B Preview o generate a video from an image with a text prompt • 13gm about 1 month ago Running on & ZERO * Agents 0 96 Auk 9 Unified speech generation and editing with Auk - tencent 11 days ago Text Generation Language Translation Running • Featured • 84 MiniCPM5-2B WebGPU Pi A coding agent running entirely in your browser @ victor 5 days ago Running • Featured 65 How to turn a game into an RL environment From an idea to a trained 4B, with the dead ends left in © HuggingEnvs 12 days ago • System theme TOS Privacy Running on So ZERO O 272 Wan2.2 14B Fast Preview [NEW] Y Generate animated video from an image • observantdistressed 24 days ago Running • 93 Ternary Bonsai 2 WebGPU Kernels Run Ternary-Bonsai-2-27B locally in your browser on WebGPU * webml-community 4 days ago Running on go ZERO * Agents 0 85 Laya Demo Fast System 1 decisions with calibrated probabilities @ convaiinnovations 2 days ago Running on So ZERO (• © 3.57k Wan2.2 14B Fast generate a video from an image with a text prompt 8* zerogpu-aoti 27 days ago Running on & ZERO @Agents • 0 96 Marigold V2 * Depth, surface normals, and albedo from a single image 3 toshas 9 days ago Running 0 75 No-Code Workflow il Create interactive flowcharts and diagrams online • xingyuanzhao Jun 2 < Previous About Careers • Models • Datasets ฿ Spaces Buckets NEW M Docs Pricing + New Space + Get PRO • Learn more Speech Synthesis 3D Modeling Music Generation Filter by name Running * Agents • Featured ) © 103 StepAudio 3 Music Studio F Create songs, arrange vocals, and remix music with StepFun * stepfun-ai 5 days ago Running • Featured 79 A Hitchhiker's Guide to the 3D Ecosystem An interactive guide to 3D representations. • suvadityamuk 11 days ago Running on & ZERO O 457 Qwen-Image-Edit- 2511-LoRAs-Fast Demo of the Collection of Qwen Image Edit LORAS 50 kulkas2pintu 5 days ago Running on g ZERO'? MCF • 107 Wan2.2 14B Preview o generate a video from an image with a text prompt CO kulkas2pintu 29 days ago Running reatured 1 0 84 MiniCPM5-2B WebGPU Pi A coding agent running entirely in your browser @ victor 5 days ago Running on & ZERO Agents 0 90 minimax h3 turbo + lora's » Video generation with a synchronized soundtrack GO observantdistressed about 10 hours ago Running • 102 HF Viewer • Model Architecture Explorer Interactive architecture graph for any HF model about 13 hours ago kunning 0 59 Flow Matching for Image Generation Visualize how noise transforms into images with flow matching & ariG23498 8 days ago 100 Next > Models Datasets Object Detection Text Analysis lillage 8 Filters (0) TV Sort: Relevance Running on & ZERO Agents • 0 96 Marigold V2 Depth, surface normals, and albedo from a single image 3 toshas 9 days ago Running • Featured 39 Join the Agent Swarm 4 Collaborative, lossless enwik& compression research • agent-collaborations 6 days ago 1,478,093 Spaces Running O 142 Al Notes Source-grounded Al notes with citations (open source). @ Lynote 6 days ago Running * Agents ( Featured 103 StepAudio 3 Music Studio M Create songs, arrange vocals, and remix music with StepFun • stepfun-ai 5 days ago Running Jev Reproductions Tracker Open reproductions of TypeSafe's Jev, all in one OLaCE ® multimodalart about 5 hours ago Running Agents 0 69 Qwen-Image-2.1 Generate or edit images from text prompts • Quen about 5 hours ago Running • Featured • 569 Microduck Sandbox Display a bold title with a playful button on a landing page O pollen-robotics 11 days ago Running • Featured 147 Fruit Fly Simulation Simulate a fruit fly in your browser using WebGPU kernels X Xenova 14 days ago Spaces Pricing Docs
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, nugging race A searen models, datasets, users. models vatasers a spaces e buckets New a vs Pricing s • Datasets: ® wikimedia wikipedia • • Like 1.49k | | Follow @ Wikimedia 550 Tasks: 0 Text Generation Fill-Mask Modalities: Text Formats: • parquet Sub-tasks: language-modelingmasked-language-modeling Languages: © Abkhaz @ Achinese | @ Adyghe +319 Size: Size: 10M-100M| Libraries: @ Datasets | i Dask | * Polars +1 License: (# cc-by-sa-3.0)(# gfd • Dataset card @ Data Studio = Files and versions xxet • Community 75 &: Dataset Viewer • Duplicate → Copy to bucket NEW train 6.15k row 258,176 string. Length tps://ab. wikipedia.02g/wik1/8008908028953038998D https: //ab.wjkśpedia.07g/w2k1/&D08938D0XB0S008B33D DESO 148302%40. 078/2/809 380389900BAD Dataset Card for Wikimedia Wikipedia Dataset Summary Wikipedia dataset containing cleaned articles of all languages The dataset is built trom the Wikipedia dumps (https://dumps.wikimedia.org () with one subset per language, each containing a single train spln Each example contains the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.)] All language subsets have already been processed for recent dump, and you can load them per date and language this way. from datasets import load datase ds = load dataset"wikimedia/wikipedia", "20231101.en")| Data Visualization Click the Nomic Atlas map below to visualize the 6.4 million samples in the 20231101. en split. dumps.wikimedia.org Repository Point of Contact: 61,614,90 • Models trained or tine-tuned on wikimedia/wik1 - deepvk/USER2-basc • neuralcrew/neutrino-instruct - deepvk/USER2-Small 92 Sentence Similarity . : 344M , , 1179k, 4, 0 • jangedoo/all-MiniLM-L6-v2-nepal; @ sz14/cRia-LM-75M tion . .: 75.7M - Uod... • ¿ 6.78k • • g Browse 553 models trained on this datase • Spaces using wikimedia/wikipedia 2 • INSAIT-Institute/mamavlm-vl-blog • sanderland/claude-tokenize amoughnieh/rag-wikipedia + 16 Spaces Supported Tasks and Leaderboards The dataset is generally used for Language Modeling Languages You can find the list of languages here: https://meta.wikimedia.org/wiki/List of Wikipedias Datacot Structure hancaneed An example looks as follows; "'id: "1. 'text': 'Anril is the fourth month.._' Data Fields The data fields are the same among all configurations • url (str): URL of the article title (str): Title of the article. taxt (ctr). Teyt content of the article Data Splits All configurations contain a single train solit Dataset Creation Curation Rationale [More Information Neededl Comes nata Initial Data Colloction and Normalitation Tha datacot is built from the Wikinodia dumne htnelldumne wikimedia oral You can find the full list of languages and dates here: https://dumps.wikimedia.org/backup-index.htm When uploading the data files for the 20231101 dump, we noticed that the Wikimedia Dumps website does not contain this date dump for the "bbc", "dga", nor "gh" Wikipedias. We have reported the issue to the Wikimedia Phabricator httne•|Inhahricator wikimedia oro /T251761 Who are the source language producers? Annotation nrocese [More Information Needed Who are the annotators? 'More Information Neododl Personal and Sensitive Information [More Information Needed Considerations for Using the Data Social Imnact of Dataset [More Information Noododl Discussion of Biases [More Information Needed Othar Known limitationd [More Information Needed Additional Information Dataset Curators [More Information Neededl liconcina Information Copyright licensing information: https://dumps.wikimedia.org/legal.html All original teytual content is licensed under the GNU Free Documentation license (GEDI ) and the Creative Commons Atribution-Share-Alike 3.0 License. Some text may be available only under the Creative Commons license: see their Terms of Use for details. Text written by some authors may be released under additional licenses or into the public domain. Citation Informatior @ONLINE{wikidump @ Sustem theme TOs Privacy About Career Models Spaces Pricing
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Hugging Face Browse AI Spaces
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® Hugging Face Q Search models, datasets, users... • Models • Datasets • Spaces • Buckets NEW M Docs Pricing v= Main Tasks Libraries Languages Licenses Other Modalities • 3D Audio Document Geospatial Image Tabular Text Time-series • Video Size (rows) < 1K > 1T Format f.) json == CSV a parquet # optimized-parquet • imagefolder soundfolder webdataset = text » arrow Type Benchmark Traces RL Environment Datasets 1,056,961 Filter by name • secemp9/arxiv-complete • Viewer • Updated 1 day ago • • 128M • * 1.99k • • 296 • Yootta/World-SimReady-Home Updated 1 day ago • $ 11.5k • 0 55 • markov-ai/cad-1000-hours • Preview • Updated 4 days ago • * 155k • $ 495 • malcolmrey/various • Viewer • Updated about 2 hour... • • 33 • ¿ 56.5k • © 227| • nyu-mll/glue • Viewer • Updated Jan 30, 2... • E 1.49M • 4 853k • © 1.08k • HuggingFaceFW/fineweb • Viewer • Updated Jul 11,20... • • 52.5B • ¿ 399k • • 3.36k • ILSVRC/imagenet-1k • Viewer • Updated Sep 17, 2025 • • 1.43M • ≤ 82.2k • © 962 • ikala/tmmluplus • Viewer • Updated 13 days ago • • 22.2k • $ 9.58k • • 184 • FlyRank/internship-warehouse • Viewer • Updated Jul 7 • • 81.8M • $ 13.4k • ° 664 • Anthropic/hh-rlhf • Viewer • Updated May 26, 2... • • 169k • ¿ 37.9k • © 2.09k = IFM/TxT360-v2 • Viewer • Updated 18 days ago • • 1.84B • ¿ 21k • © 69 • DeepMostInnovations/saas-sales-conversa.. • Viewer • Updated May 12, 2025 • • 100k • ¿ 604 - • 32 • venvoo/china-a-share-12-leve12-limit-or.. Updated 4 days ago • * 11.9k • • 79 • IFM/Code-Reasoning • Viewer • Updated 19 days ago • • 452M • $ 40.3k • • 67 • 1msys/1msys-chat-1m • Viewer • Updated Jul 27, 2024 • • 1M • · 5.99k • • 1.02k| ‹ Previous Full-text search Tv Sort: Trending • openbmb/UltraData-SFT-Agent-2609 • Viewer • Updated 15 days ago • • 240k • × 18.3k • • 206 • MoreThought/Fable-5.1-Max-Reasoning-Fil... • Viewer • Updated 5 days ago • • 5k • 4 1.69k • ° 89 • wikimedia/wikipedia • Viewer • Updated Jan 9, 2024 • = 61.6M • ¿ 258k • © 1.49k zgcagi/ZGCM-1-Data • Viewer • Updated 3 days ago • • 5.44B • & 16.6k • © 40 openbmb/UltraData-Code • Viewer • Updated 14 days ago • E 348M • ¼ 27.5k • $ 152 • openbmb/UltraData-RL-2609 Updated 14 days ago • $ 14.3k • ° 158 • OpenDataArena/Spark-234K • Viewer • Updated 15 days ago • • 234k • $ 2.12k - 0 48 openai/gsm8k 2 Benchmark • Updated Ma... • • 17.6k • * 1.22M • O 1.66k| • nvidia/OpenH-RF Updated 3 days ago • $ 1.91k • © 30 • nvidia/PhysicalAI-Autonomous-Vehicles Updated 9 days ago • 4 205k • © 1.06k stanfordnlp/imdb • Viewer • Updated Jan 4, 2024 • • 100k • ¿ 203k • & 1.02k • echel0nn1881/kimi-cyber-reasoning • Viewer • Updated 18 days ago • E 997 • 4 2.22k • 0 78 saidutta69/fable-5-premium • Viewer • Updated 8 days ago • • 12.7k • & 12.4k • © 125 gaia-benchmark/GAIA • Viewer • Updated Oct 28, 2025 • E 932 • ¼ 9.26k • 0 839 TheAgenticDataCompany/open-yap-1k • Viewer • Updated 15 days ago • • 16 • 4 4.61k • © 98 2 3 ... 100 Next > • System theme TOS Privacy About Careers Models Datasets Spaces Pricing Docs
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& Hugging Face Q Search models, datasets, users... • Models • Datasets 8 Spaces • Buckets NEW Docs Pricing v= • Comfy-Org/Qwen-Image-2.1• • Like 357 Follow • Comfy Org 13.7k| Diffusion Single File comfyui I License: qwen-research • Model card ›E Files and versions xet 3 Community 7 = Qwen-Image 2.1 Repackaged model files for ComfyUl. Original model repository: https://huggingface.co/Qwen/Qwen-lmage-2.1 Place the files in the following folders: • ComfyUI/ L • models/ — • diffusion_models/ 1 qwen_image_2.1_bf16.safetensors 1 L qwen_image_2.1_int8_convrot.safetensors — • text_encoders/ | qwen3v1_8b_bf16.safetensors | - qwen3v1_8b_int8_convrot.safetensors | L qwen3v1_8b_w4a8.safetensors L • vae/ - qwen_image_2.1_vae_bf16.safetensors Workflow: • Text-to-image: https://github.com/Comfy= Org/workflow templates/blob/main/templates/image_qwen image 2 1 tijs on • Image Edit: https://github.com/Comfy= Org/workflow templates/blob/main/templates/image_qwen image 2 1 imag e edit.json : 7 Deploy v → Copy to bucket NEW • Use this model Downloads last month 120 N * Inference Providers New This model isn't deployed by any Inference Provider. Ask for provider support *: Model tree for Comfy-Org/Qwen-Image-2.1 @ Base model Qwen/Qwen- Image-2.1 • Finetuned (15) this model Finetunes 1 model Quantizations 1 model • Spaces using Comfy-0rg/Qwen-Image-2.1 8 ® directedbykobyperez/Qwen-Image-2.1-Create E RiShiina/ImageGen @ baka999/qwen-image-2.1 @ oookto/qwen21-comfyui-spaces • fluxjhk/krea2-pool-2| @ abdullahceylan/qwen-image-2.1 • jickman125/Qwen-Image-2.1-Create luthkyndir/Qwen-Image-2.1-Create • System theme TOS Privacy About Careers Models Datasets Spaces Pricing Docs
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Hugging Face Q. Search models, datasets, users... • Models • Datasets 88 Spaces • Buckets New M Docs Pricing Tasks Libraries Languages Licenses Other Tasks Text Generation Any-to-Any image-lext-to-lext image-to-lext Image-to-Image Text-to-Image • rext-to-viaeo rext-to-speech + 44 parameters > 500B Libraries • PyTorch FF TensorFlow = Transtormers • Dittusers Gg GGUF + 47 APPS V VLLM " llama.cpp • MLXLM • LM Studio f Ollama | Draw Ihings + 10 Inference Providers 9 Groq • Novita « Cerebras A Nscale • tal • logether Al sk hireworks + 11 Hardware it Add your hardware, Models 3,082,092 • Filter by name l prism-ml/Ternary-Bonsai-2-27B-gguf Fo Text Generation • .: 27B • Updated 4 days ago - 41.91M • O 1.61k • convaiinnovations/laya ¿* Text Classitication • .:: 0.4B • Updated 1 day ago • V 1.3/K 5 Qwen/Qwen- Image -2.1 Eg Text-to-Image • : 7B • Updated about 5 hours ago • & 183 • $ 1.09k • Base only 4: Interence Available Tv Sort: Trending Eg Text Generation • .:: 31B • Updated 3 days ago • ¿ 12.6k • • 974 • deepseek-ai/DeepSeek-V4.1-Flash Lo Image-lext-to-lext • .:: 763B • Updated 11 days ago • &49(k • 4 • V 3.4/k 5 Qwen/Qwen3.8-27B E Image-Text-to-Text • : 28B • Updated Aug 14 • $7.15M • 4 - S 15.9k * ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF ® Image-Text-to-Text • .: 27B • Updated 19 days ago • L 1.29M - O 1.5k = m-a-p/YuE2- 3B to Text-to-Audio • .:: 4B • Updated 5 days ago • & 17.4K • V 933 * harshatheg/Owen-2.5-1B-RLCD g Text Generation • Updated 5 days ago • • 490 @ Lightricks/LTX-2.5 Ex Image-to-Video • Updated 20 days ago • L 1.63M • O 4.59k • ukisai/Swift-Qwen3.8-27b a Image-lext-to-lext • .: z8b • Updated 5 davs ago • v 11k • V 51/ @ AlexWortega/openjev 1 Text Classification • Updated about 12 hours ago • © 360 • Comfy-0rg/Qwen- Image-2.1 Updated about 17 hours ago • 4120 - 0 356 • unsloth/Qwen3.8-27B-GGUF .: 2IB • Updated Aug 20 • v, 1.04M • V 4.44K • DavidAU/Qwen3.8-27B-TURB0-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-M. a mae-Text-to-Text • . 27B • Undated 4 davs ago • v 1.3M • • 1.02k l prism-ml/Ternary-Bonsai-2-27B-m1x-2bit Fo Text Generation • .: 27B • Updated 4 days ago • 430k • 0 293 Qwen/Qwen3.8-Flash-Next ® Image-Text-to-Text • .: 180B • Updated 25 days ago • J 775k • 4 • • 5.52| • ukisai/Swift-Qwen3.8-27B-GGUF 9 mage-Text-to-Text • * 27B • Updated 5 davs ago • v 137k • • 337 = openbmb/MiniCPM5-2B To Text Generation • :: 3B • Updated 9 days ago • 4 421k • © 1.63k @ abenzerps/Qwen-Image-2.1-Uncensored -GGUF - lext-to-mage • .: /b • Updated about 1 nour ago • V 235 • MiniMaxAI/MiniMax-H3 in mace- ext-to-video • :: 33B • Ubdated Aug 13 • v4.05M • 4 {5.55| R TokenRhvthm/NeoHorse-1-9B g Text Generation • :: 9B • Updated 11 days ago • & 11.9k • ° 984 • internlm/Atria-Dawn-Preview .:: 753B • Updated 5 days ago • $ 895 • © 217 • TaichuAI/ZDTaichu5.o-9B Lo Image-lext-to-lext • .:: 10B • Updated 1 day ago • ≥ 3.75k • V 215 @ ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF E Image-Text-to-Text • : 177B • Updated 3 days ago • & 43k - S 201 w warmbloodAban/Minimax-h3_Singularity E Image-to-Video • Updated 3 days ago • ≥ 243k • • 583 & Altworld/Hemmingway -1 " lext Generation • . ZIB • Updated about 19 hours ago • V 186 - netease-youdao/Confucius4-R2T2 & Automatic Speech Recognition • : 2B • Updated 4 days ago • 4643 - 0 185 • dealonal beensee-ve--lash-UNCENSUReD-rro ® Image-Text-to-Text • : 763B • Updated 10 days ago • J 34.7k - 8 327 2 zai-org/GLM-5.3-Flash lo Image-lext-to-lext • .: 321B • Updated 14 days ago • * 3.3IM • 4 • V 2.5k < Previous 1 2 3 .... 100 Next > • System theme TOS Privacy About Careers Models Datasets Spaces Pricing Docs
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Hugging Face Q Search models, datasets, users... • Models • Datasets ® Spaces • Buckets new _ Docs Pricing v= Hugging Face is way more fun with friends and colleagues! Join an organization Dismiss this message + New SaaSFrame Welcome to Hugging Face! Profile • Inbox (0) • Jobs (0) * Settings $ Billing • Get PRO Organizations + Create New Resources • Getting Started @ Documentation @ Forum @ Tasks • Learn • Light theme Following 0v Models Datasets Spaces Buckets Papers Collections Community Posts Upvotes Likes Articles NEW Follow your favorite Al creators • Refresh List × » litert-community • Tiny models, powerful performance, everywhere Follow ) nunchaku-tech • Optimized generative Al for vision tasks Follow & Tongyi-MAl • Fast diffusion transformers for image generation Follow W Trending last 7 days (All Models Datasets Spaces l prism-ml/Ternary-Bonsai-2-27B-gguf Fy Text Generation • .:: 27B • Up... • ¼ 1.91M • O 1.61k • convaiinnovations/laya • Text Classification • .: O.4B • Updated 1 d... • • 1.37k = Qwen/Qwen-Image-2.1 Ip Text-to-Image • .:: 7B • Updated... • / 183 • • 1.09k • XingChen-AGI/Xing4.0-29B-A4B Eg Text Generation • :: 31B • Updat... • ¿ 12.6k • • 974 secemp9/arxiv-complete • Viewer • Updated 1 da... • • 128M • · 1.99k • • 296 MiniMax H3 Turbo LoRA ≥ Video generation with a synchronized soundtrack • 557 Wan2.2 14B Fast Preview [NEW] ‹Y Generate animated video from an image ~ 272 Qwen-Image-Edit-2511-LoRAs-Fast © Demo of the Collection of Qwen Image Edit LoRAs • 457 openbmb/UltraData-SFT-Agent-2609 • Viewer • Updated 15 da... • • 240k • ¿ 18.3k • C 206 • Yootta/World-SimReady-Home Updated 1 day ago • * 11.5k • 8 55 MoreThought/Fable-5.1-Max-Reasoning-Fi... • Viewer • Updated 5 days ago • • 5k • ₺ 1.69k • ° 89 Al Notes D Source-grounded Al notes with citations (open... • 142 • System theme TOS Privacy About Careers Models Datasets Spaces Pricing Docs
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Search models, datasets, users... » Models Datasets Spaces ® Buckets new (1) Docs Pricing Login & Hugging Face Leveling up Al collaboration and compute. Give your personal account or your organization the most advanced platform to build Al. pro PRO Account Boost your personal HF experience $9 /month + v 10x private storage capacity public storage capacity Y inference credits Y 8x ZeroGPU quota and highest queue priority Y_ Host ZeroGPU, Gradio & Docker Spaces Dev Mode VY Personal blog publishing @ Team Most popular Instant setup for growing teams $20 /month per user Get Team (vi it card) SSO support (SAML & OIDC) Data location control with Storage Regions action reviews with Audit Logs access control via Resource Groups v_ Repository usage Analytics Advanced auth policies and repository visibility controls @ Enterprise Custom onboarding and enterprise features $50 /month per user Talk to sales All benefits from the Team plan Highest storage, bandwidth, and API rate limits Automated user management with SCIM provisioning Advanced security and access controls Managed billing with annual commitments Legal and Compliance processes Dedicated support Y Centralized token control and approvals Dataset Viewer for private datasets Vv Dataset Viewer for private datasets Y Show your support with a PRO badge Create Gradio & Docker Spaces, with advanced compute options + Allorganization members get ZeroGPU and Inference Providers PRO benefits Need support to adopt the HF Hub in your organization? View our # Enterprise Support. Storage Base 5OTB+ $12 $10 Public rie Public reposito Transparent, volume- ee based pricing $18 $16 Store your Al models, datasets, Spaces, and Buckets with simple per- TB pricing. Egress and CDN included at no extra cost. 200TB+ S5O0TB+ AWS $3 $23 $9 $8 Backblaze Overdrive Public repositories HF Hub ex $8-12 mo $14 $12 @ Private Need more than 500TB? Contact sales for custom pricing. Hub Explore, experiment, collaborate and build technology with Machine Learning The HF Hub is the central place to explore, experiment, collaborate and build technology with Machine Learning. Join the open source Machine Learning movement! Create with ML Packed with ML features, like model eval, dataset viewer and much more. Collaborate Play and learn Build your ML portfolio Git based and designed for collaboration atits core. Learn by experimenting and sharing with our awesome community. Share your work with the world and build your own ML profile. vas A Image Segmentation Fill-Ma: EMD discussions Pull requ ale 23 Automatic Speech Recognition * ¥ ur Omar Sanseviero 32 Sentence Similarity set to you onal Sa £9 Question Answering SS Tarn Chat Cle Ea Add evaluation results o Spaces Hardware On-demand GPU hardware. Starting at $0. Spaces are one of the most popular ways to share ML applications and demos with the world. Upgrade your Spaces with our selection of custom on-demand hardware. > Get started Spaces NAME cpu MEMORY ACCELERATOR VRAM HOURLY PRICE CPU Basic 2 vCPU 16 GB - - FREE CPU Upgrade 8 vCPU 32 GB - - $0.03 NAME CPU MEMORY ACCELERATOR VRAM HOURLY PRICE CPU Basic 2 vCPU 16 GB - - FREE CPU Upgrade 8 vCPU 32 GB - - $0.03 ZeroGPU dynamic dynamic Nvidia RTX Pro 6000 Blackwell up to 96 GB FREE & Nvidia T4 - small 4 vCPU 15 GB Nvidia T4 16 GB $0.40 @& Nvidia T4 - medium 8 vCPU 30 GB Nvidia T4 16 GB $0.60 @& 1x Nvidia L4 8 vCPU 30 GB Nvidia L4 24 GB $0.80 @& 4x Nvidia L4 48 vCPU 186 GB Nvidia L4 96 GB $3.80 @& 1x Nvidia L40S 8 vCPU 62 GB Nvidia L4 48 GB $1.80 @& 4x Nvidia L40S 48 vCPU 382 GB Nvidia L4 192 GB $8.30 @& 8x Nvidia L40S 192 vCPU 1534 GB Nvidia L4 384 GB $23.50 @& Nvidia A10G - small 4 vCPU 15 GB Nvidia A10G 24 GB $1.00 @& Nvidia A10G - large 12 vCPU 46 GB Nvidia A10G 24 GB $1.50 @& 2x Nvidia A10G - large 24 vCPU 92 GB Nvidia A10G 48 GB $3.00 @& 4x Nvidia A10G - large 48 vCPU 184 GB Nvidia A10G 96 GB $5.00 @& Nvidia A100 - large 12 vCPU 142 GB Nvidia A100 80 GB $2.50 @& 4x Nvidia A100 48 vCPU 568 GB Nvidia A100 320 GB $10.00 @& 8x Nvidia A100 96 vCPU 1136 GB Nvidia A100 640 GB $20.00 Custom on demand on demand on demand on demand on demand Building something cool as a side project? We also offer community GPU grants. Inference Endpoints Dedicated inference, starting at $0.033/hour. Deploy any ML model on dedicated and autoscaling infrastructure, right from the HF Hub. Secure, production-ready, with no cold starts. > Learn more cpu INSTANCES pu INSTANCES Intel Sapphire Rapids aws 1 2GB $0.03 NVIDIA T4 aws 1 14GB $0.50 2 4GB $0.07 4 56GB $3.00 4 8GB $0.13 NVIDIA L4 aws 1 24GB $0.80 8 16GB $0.27 4 96GB $3.80 16 32GB $0.54 NVIDIA L40S aws a 48GB $1.80 Intel Xeon azure 1 2GB $0.06 4 192GB $8.30 2 4GB $0.12 8 384GB $23.50 4 8GB $0.24 NVIDIA A100 aws 1 80GB $2.50 8 16GB $0.48 2 160GB $5.00 Intel Sapphire Rapids gcp 4 2GB $0.05 4 320GB $10.00 2 4GB $0.10 8 640GB $20.00 4 8GB $0.20 NVIDIA H100 aws 1 80GB $4.50 8 16GB $0.40 2 160GB $9.00 ‘ACCEL INSTANCES 4 320GB $18.00 Inf2 Neuron aws x1 14.5GB $0.75 8 640GB $36.00 x1-large 124GB $1.95 NVIDIA H200 aws 1 $5.00 x12 760GB $12.00 2 282GB $10.00 TPU v5e gcp 16GB $1.20 4 564GB $20.00 2x2 64GB $4.75 8 1128GB $40.00 2x4 128GB $9.50 NVIDIA B200 aws 1 179GB $9.25 2 358GB $18.50 4 716GB $37.00 8 1432GB $74.00 NVIDIA RTX PRO 6000 aws 1 96GB $2.75 2 192GB $5.50 4 384GB $11.00 8 768GB $22.00 a a J PRO Private storage Public storage Inference Providers Spaces 10x private storage 2x public storage 20x included Host your own ZeroGPU, Do more with capacity capacity inference credits Gradio & Docker Spaces . on compute Hugging Face PRO Upgrade your HF experience for $9/month. 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, Hugging Face u search models, datasets, users.. models - catasets spaces • Buckets NEv _ DOCS Pricing Log In Sign Up Community Blog & Articles + New Article le upen source collab rartnersnlos kesearch AUa10 ALTK-Evolve On-the-Job Learning for Al → NeoMME TRL A Liquid IFStruct Training a coding model to paint watercolours 200+ OPEN-SOURCE WEDUPU KERNELS FLEET • RATE YOUR GPU The Open ASR Leaderboard Adds Its First Global South Kranet Your Agent Aced the Task. Will It Do It Again? IN ibm-research A 102 September 15, 2026 L1m R1 Trl Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL &CEO aminediroHf, et. al. → 40 september 1o, coco Gradlo WOIKILOWS Automat1c1111 Rebuilding AUTOMATIC1111 with Gradio Workflow @ ysharma, abidlabs A 62 September 10, 2026 Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic A 30 September 8. 2026 NeoMME: an efficient Multimodal-native and Multilingual Encoder company Tean A 110 September 3, 2026 Guide munıty Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps lamleonie, et. al • 129 september 3, <020 Give Your Coding Agents a Memory You Own • 119 september 3, zozo Grpo TIl Training a coding model to paint watercolours with TRL and OpenEnv • sergiopaniego • 70 september 3, 2026 BenchMIRT: What are LLM benchmarks actually measuring? * allenai E • 24 septemper 1, <oz0 Inference Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI GO nico-martin, Xenova • 76 September 1, 2026 Audio Speech Leaderboard The Open ASR Leaderboard Adds Its First Global South Language +6 bezzam, et. al • 5/ August 28, 2026 NID Guide Community Training and Finetuning Multi-Vector Embedding Models with Sentence... @ tomaarsen ^ 142 August 26, 2026 @ Community Articles i Sort: Trending NEW Articles from T Team or E Enterprise organizations will get promoted to the main section What If the Adaptation Were a Model? ShadowPEFT in @ PEFT library • snadow-lim • o days aga EARED ShadowPET test #I @ PEFT IF • snadow-lim • b aays ago • • 16 Your Interence Server is Secretlv a Learner: Reef Infrastructure for Continual Self- • quao627 • 6 days ago • A 15 Openkouter Leaderboard: 425 Models bi Price, Measured Speed and Korean Quality IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial- triendly license m-research • 12 days ago • A 60 inside ine Jev ccosystem: 15 Answer Verifiers on One Test Set • mayatree • lady ago • a 1. your model already knows it's wrong. Asking costs 0.06 seconds and zero tokens • FINAL-Bench • about 1/ nours ago • • 1l funes: Local Memory for Coding Agents, Built on Lance • ariG23498 • 4 davs ago • • d Making open-source Al weather forecasting models easy to run hugging-science • 13 davs ago • A 31 Optimum-Intel v2.2.0 & OpenVINO GenAl 2026.4.0: What's New Checharlaix • 3 davs ago • a? uncensor any LL with abliteration es mlabonne • Jun 13. 2024 • • 924 BananaMind 2 Pro: We've (almost) matched smolLz at zux tewer tokens... Irained on a 5070 Ti • banaxi-lecn • s aays ago • • d Open Yap 1K: 1,000 hours of full-duplex natural conversation, tree tor commercial * TheAgenticDataCo. • 17 davs ago • A 1º kv caching celained. uptimizing Transtormer Interence Efficiency Layer-reeaback Iranstormer (LE! • Banaxi-Tech • 2 days ago • A 5 one sanabox per rollout, or now labs run k. tor agents in 2026 • sergiopaniego • 10 days ago • A 10 Per-tensor lavout maps for GGUP quantization vski • 11 days ago • A 37 Deploy local agents everywhere with LFM2.5- L.OD • LIQUIdAl • Aug4 • A 10l DAVIDAU DF FTFD MY POST AND BANNFD ME FOR ASKING ABOUT BENCHMARKS - HERE IS THE FULL ANALYSIS (9B +27B +390 MUDELS • Dederrogames • Aug 12 • A 23 When Benchmark Numbers Become Marketing • DedeProGames • 3 davsago • A ‹ View all articles → Granite 4.2 LLMs: How They're Built I ibm-granite Enterprise A 122 August 25, 2026 ‹ Previous - system theme Quantization-Aware Healing: a compressed, 4 bit model that outperfor... * MultiverseComputingCAI Team • • August <5, 2026 Next > About Careers Models Datasets spaces Pricing Docs
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Hugging Face t Models Datasets Spaces ® Buckets New Docs Pricing v= Login Models Text Generation Any-to-Any 2-Text-to-Text Image-to-Text ® openai/gpt-oss-120b to-Image Text-to-Image Text-to-Video Text-to- 5008 The Al community 7 : nvidi building the future. 5 a GA PyTorch Transfor Diffusers etensors ® . | NNX @ GGuUF The platform where the Machine learning community ers collaborates on models, datasets, and applicatio vLLM @ Ollama Jan +7 Explore Al Apps or Browse 2M+ models © Groq Novita Cerebras @ nscale © fal bolic Trending on & this week Models ®B Spaces = Datasets prism-ml/Ternary -Bonsai-2-27B-gguf MiniMax H3 Turbo LoRA secemp9/arxiv-complete Video generation with a synchronized soundtrack convaiinnovations/laya Wan2.2 14B Fast Preview [NEW] openbmb/UltraData-SFT-Agent-2609 Generate animated video from an image Qwen/Qwen-Image-2.1 Quwen-Image-Edit-2511-LoRAs-Fast 9 457 Yootta/World-SimReady-Home Demo of the Collection of Qwen Image Edit LoRAs XingChen-AGI/Xing4.0-29B-A4B MoreThought/Fable-5.1-Max-Reasoning-Fi.. Source-grounded Al notes with citations (open... deepseek-ai/DeepSeek-V4.1-Flash YuE2-3B Music Generator markov-ai/cad-1000-hours Generate songs and covers from style prompts... Browse 2M+ models Browse 1M+ applications Browse 500k+ datasets wy The Home of Machine Learning Create, discover and collaborate on ML better. The collaboration platform Move faster Host and collaborate on unlimited public models, datasets and applications. With the HF Open source stack. + New ® Amy Roberts's Activity ~ from transformers import pipeline Models Datasets Spaces Community Likes ipe = pipeline("text-generation", model= amyeroberts pat pak s @ Profile * Updated 2 models © Inbox (@) amyeroberts/detr-resnet-50-base-coco Settings from transformers import Auto model = AutoModel.from_pret Organizations @ apple/mobilevitv2-1.0-imagenet1k-256 @ Hugging Face © Apple Create Ne\ New acti from Explore all moda Build your portfolio Text, image, video, audio or even 3D. Share your work with the world and build your ML profile. & Xp Image-to-Text Papers Translation emma, =” aS Token aun oa Oo meses Os amass =D neon it Classification & B spaces X younesbellada © younesbetkada regression ae ES Document 7 Question fa Answering Accelerate your ML We provide paid Compute and Enterprise solutions. g Regions Single Sign-On A Private Datasets views Team & Enterprise Give your team the most advanced platform to build Al enterpri: P Audit Logs controls and dedicated support. Resource Groups Priority Support Getting started er/ Inference Providers Compute Access 45,000+ models from leading Al providers Deploy on optimized Inference Endpoints or update through a single, unified API with no service fees. your Spaces applications to a GPU in a few clicks. lore Models rtin hour f © » at @ 50008 © @ OG st oO «m = More than 50,000 organizations are using Hugging Face 6 Ai2 | AlatMeta amazon AMazon G Google it Intel Microsoft Grammarly Ww Writer 0 an nod 2 node 2 ‘omp: r e e Our Open Source We are building the foundation of ML tooling with the community. © Transformers e Safetensors © 166,453 © 3,900 © Diffusers e Hub Python Library © 34,555 © 3,919 State-of-the-art Al models for Safe way to store/distribute PyTorch neural network weights State-of-the-art Diffusion models Python client to interact with the in PyTorch Hugging Face Hub © Tokenizers © Transformers.js © 11,050 © 16,307 e TRL e smolagents © 19,351 © 29,423 Fast tokenizers optimized for State-of-the-art ML running research & production directly in your browser Train transformers LMs with Smol library gre e PEFT Text Generation 21,706 Inference B System theme Website Company Resources Social Models About Learn GitHub B System theme Website Models Datasets Spaces Changelog Inference Endpoints HuggingChat Company About Brand assets Terms of service Privacy Careers Press Resources Learn Documentation Blog Forum Service Status Speed test Social GitHub Twitter Linkedin Discord
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