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This is HUGE, Hugging Face just shipped Inference Providers on the Hub Partnering with Together AI, @FAL, Replicate and SambaNova! Starting today you can access thousands of Models like DeepSeek R1, Llama, Flux, Whisper, and more Directly from Hugging Face!

AK

500,245 subscribers

177,126 次观看 • 1 年前 •via X (Twitter)

教育科学技术新闻政治

Anya Rossi• Live Now

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11 条评论

AK 的头像

AK1 年前

blog:

APILayer 的头像

APILayer1 年前

🔓 Unlock new possibilities for your business with APIs! 🚀 Discover our extensive API Marketplace, featuring top-notch, cutting-edge solutions tailored just for you. Elevate your company and drive innovation! Get started with apilayer today:

TheHeroShep 的头像

TheHeroShep1 年前

@togethercompute @FAL @replicate @SambaNovaAI We love when an epic team comes together… Now who’s Hawkeye? 🤣

Sourabh 的头像

Sourabh1 年前

@togethercompute @FAL @replicate @SambaNovaAI ai game just changed fr

Cédric Limousin 的头像

Cédric Limousin1 年前

@togethercompute @FAL @replicate @SambaNovaAI So like a competitor to Fal and Replicate ?

Rahul Asthana 的头像

Rahul Asthana1 年前

@togethercompute @FAL @replicate @SambaNovaAI so cool

Amoussouvi 的头像

Amoussouvi1 年前

@togethercompute @FAL @replicate @SambaNovaAI Is it free or do you need a pro account ?

Victor M 的头像

Victor M1 年前

This is wild 🤯 We finally have an open-source music generation model that rocks 🚀

Unsloth AI 的头像

Unsloth AI1 年前

Introducing 1.58bit DeepSeek-R1 GGUFs! 🐋 DeepSeek-R1 can now run in 1.58-bit, while being fully functional. We shrank the 671B parameter model from 720GB to just 131GB - a 80% size reduction. Naively quantizing all layers breaks the model entirely, causing endless loops & gibberish outputs. Our dynamic quants solve this. The 1.58-bit quant fits in 160GB VRAM (2x H100 80GB) for fast inference at ~140 tokens/sec. By studying DeepSeek-R1’s architecture, we selectively quantized certain layers to higher bits (like 4-bit), and leave most MoE layers to 1.5-bit. Benchmarks + Blog: Dynamic GGUFs (131GB–212GB) on Hugging Face:

Qwen 的头像

Qwen1 年前

🎉 恭喜发财🧧🐍 As we welcome the Chinese New Year, we're thrilled to announce the launch of Qwen2.5-VL , our latest flagship vision-language model! 🚀 💗 Qwen Chat: 📖 Blog: 🤗 Hugging Face: 🤖 ModelScope: 🌟 Key Highlights: * Visual Understanding : From flowers to complex charts, Qwen2.5-VL sees it all! * Agentic Capabilities : It’s a visual agent that can reason and interact with tools like computers & phones. * Long Video Comprehension : Captures events in videos over 1 hour long! ⏳🎥 * Precise Localization : Generates bounding boxes & JSON outputs for accurate object detection. * Structured Data Outputs : Perfect for finance & commerce, handling invoices, forms & more! 💼📊 Try Qwen2.5-VL now at Qwen Chat or explore models on Hugging Face & ModelScope . 🌐

SkalskiP 的头像

SkalskiP1 年前

Alibaba dropped QWEN2.5VL yesterday; I spend all night working on fine-tuning tutorial this notebook covers - dataset preparation - tokenization - training with LoRA/QLoRA (for max performance on low-power devices) - fine-tuned model evaluation link:

相关视频

JUST IN: Inference Providers at Hugging Face Hub Use @FAL SambaNova Together AI Replicate on Hugging Face to infer gigantic models like DeepSeek R1 from model page or through our client SDKs (Python, JS)/HTTP calls

JUST IN: Inference Providers at Hugging Face Hub Use @FAL SambaNova Together AI Replicate on Hugging Face to infer gigantic models like DeepSeek R1 from model page or through our client SDKs (Python, JS)/HTTP calls

merve

36,902 次观看 • 1 年前

BOOM! Huge update for AI app developers by Hugging Face you can now deploy models directly from Hugging Face with Gradio while choosing your preferred inference provider from SambaNova, Hyperbolic, Together AI, Fireworks, Replicate, fal, Nebius, Novita AI Additionally, you can choose to require Space users to log in, ensuring that inference usage is billed to their accounts

BOOM! Huge update for AI app developers by Hugging Face you can now deploy models directly from Hugging Face with Gradio while choosing your preferred inference provider from SambaNova, Hyperbolic, Together AI, Fireworks, Replicate, fal, Nebius, Novita AI Additionally, you can choose to require Space users to log in, ensuring that inference usage is billed to their accounts

AK

59,352 次观看 • 1 年前

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Philipp Schmid

34,757 次观看 • 1 年前

Atomic Chat is now on Hugging Face 🤗 We're officially a Local App on the world's biggest AI hub. Run 200,000+ open-weight models from Hugging Face directly on your device - private, local, and open source!

Atomic Chat is now on Hugging Face 🤗 We're officially a Local App on the world's biggest AI hub. Run 200,000+ open-weight models from Hugging Face directly on your device - private, local, and open source!

atomic.chat

29,420 次观看 • 2 个月前

Welcome to the party Hugging Face 🤗 Access the Hugging Face Hub directly from Gemini CLI with this new Gemini CLI extension. 🔍 - Search models, datasets and papers 📈 - Find trending models or datasets 🤗 - Learn how to fine-tune models and more! Big thanks to Shaun Smith and Vaibhav (VB) Srivastav for making this happen!

Welcome to the party Hugging Face 🤗 Access the Hugging Face Hub directly from Gemini CLI with this new Gemini CLI extension. 🔍 - Search models, datasets and papers 📈 - Find trending models or datasets 🤗 - Learn how to fine-tune models and more! Big thanks to Shaun Smith and Vaibhav (VB) Srivastav for making this happen!

Jack Wotherspoon

14,491 次观看 • 9 个月前

You can now run Nebius AI Studio models directly in Visual Studio Code, just select Hugging Face as your Copilot provider and enter your HF key. ✅ Use models like Qwen, DeepSeek, Kimi, GLM ⚡ Powered by Nebius inference infrastructure Open models, instant APIs, zero setup.

You can now run Nebius AI Studio models directly in Visual Studio Code, just select Hugging Face as your Copilot provider and enter your HF key. ✅ Use models like Qwen, DeepSeek, Kimi, GLM ⚡ Powered by Nebius inference infrastructure Open models, instant APIs, zero setup.

Nebius Token Factory

12,233 次观看 • 10 个月前

Awesome to see the collab between Kaggle and Hugging Face. Now you can use any model from Hugging Face directly in Kaggle. Previously, we had to download and upload the models as datasets. This was much needed 🚀

Awesome to see the collab between Kaggle and Hugging Face. Now you can use any model from Hugging Face directly in Kaggle. Previously, we had to download and upload the models as datasets. This was much needed 🚀

abhishek

25,639 次观看 • 1 年前

🚨UNCANNY VALLEY: SO, TURNS OUT AI WON’T REPLACE HUMANS AFTER ALL? While others focus on AI replacing humans, Hugging Face is proving the opposite: community drives progress. With new models, datasets, and apps added every ten seconds, the platform grows faster than any one company could manage alone. clem 🤗: "You can replicate technology. You can’t replicate momentum." Uncanny Valley with Hugging Face CEO clem 🤗 — only on

🚨UNCANNY VALLEY: SO, TURNS OUT AI WON’T REPLACE HUMANS AFTER ALL? While others focus on AI replacing humans, Hugging Face is proving the opposite: community drives progress. With new models, datasets, and apps added every ten seconds, the platform grows faster than any one company could manage alone. clem 🤗: "You can replicate technology. You can’t replicate momentum." Uncanny Valley with Hugging Face CEO clem 🤗 — only on

Mario Nawfal

164,935 次观看 • 1 年前

LFM2-Audio just dropped! It's a 1.5B model that understands and generates both text and audio Inference 10x faster + quality on par with models 10x larger Available today on Hugging Face and our playground 🥳

LFM2-Audio just dropped! It's a 1.5B model that understands and generates both text and audio Inference 10x faster + quality on par with models 10x larger Available today on Hugging Face and our playground 🥳

Maxime Labonne

85,053 次观看 • 10 个月前

Added web search to Papers with Code's upcoming chat interface This runs on Hugging Face Inference Providers via Baseten (new DeepSeek-V4 Flash), using Exa's MCP server, running inside a Modal container Drop your HF username, and I'll add you, eager for feedback :)

Added web search to Papers with Code's upcoming chat interface This runs on Hugging Face Inference Providers via Baseten (new DeepSeek-V4 Flash), using Exa's MCP server, running inside a Modal container Drop your HF username, and I'll add you, eager for feedback :)

Niels Rogge

20,030 次观看 • 18 天前

DeepSeek-R1. Now running *locally* on your Umbrel. Yes, you can now self-host open source AI models like R1, Llama, and more on your home cloud — thanks to ollama and Open WebUI. Download Open WebUI and Ollama from the Umbrel App Store to get started.

DeepSeek-R1. Now running locally on your Umbrel. Yes, you can now self-host open source AI models like R1, Llama, and more on your home cloud — thanks to ollama and Open WebUI. Download Open WebUI and Ollama from the Umbrel App Store to get started.

Umbrel ☂️

36,562 次观看 • 1 年前

DeepSeek R1 671B is ridiculously good, but running at 158 tokens per second is something out of this world. A model *this good* running *this fast* is 3 years ahead of this time. The secret: DeepSeek in this short video isn't running on GPUs. It's running on custom-made chips! This is running on SambaNova and their SN40L chips, which are designed and optimized for running AI workflows. SambaNova is sponsoring my work. We designed GPUs to run games and later realized we could use them for AI. This is very different from creating a chip specifically for AI from the ground up. Just think about this for a second: One single SNL40 chip can simultaneously hold 100+ models (trillions of parameters) in memory! An agentic workflow that uses multiple models simultaneously won't need to swap models from memory even once! By the way, the Llama family of models *screams* on the SambaNova Cloud. Here are some numbers from my latest tests: • Llama 3.3 70B: 367.32 t/s • Llama 3.2 1B: 2381.82 t/s • Llama 3.2 3B: 1335.71 t/s • Llama 3.1 8B: 929.58 t/s • Llama 3.1 70B: 369.16 t/s • Llama 3.1 405B: 103.37 t/s You can access all of these models for free!

DeepSeek R1 671B is ridiculously good, but running at 158 tokens per second is something out of this world. A model this good running this fast is 3 years ahead of this time. The secret: DeepSeek in this short video isn't running on GPUs. It's running on custom-made chips! This is running on SambaNova and their SN40L chips, which are designed and optimized for running AI workflows. SambaNova is sponsoring my work. We designed GPUs to run games and later realized we could use them for AI. This is very different from creating a chip specifically for AI from the ground up. Just think about this for a second: One single SNL40 chip can simultaneously hold 100+ models (trillions of parameters) in memory! An agentic workflow that uses multiple models simultaneously won't need to swap models from memory even once! By the way, the Llama family of models screams on the SambaNova Cloud. Here are some numbers from my latest tests: • Llama 3.3 70B: 367.32 t/s • Llama 3.2 1B: 2381.82 t/s • Llama 3.2 3B: 1335.71 t/s • Llama 3.1 8B: 929.58 t/s • Llama 3.1 70B: 369.16 t/s • Llama 3.1 405B: 103.37 t/s You can access all of these models for free!

Santiago

131,019 次观看 • 1 年前

BOOM! Starting today you can use open source frontier LLMs in Visual Studio Code with HF Inference Providers! 🔥 Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more All of it packaged in one simple extension - try it out today 🤗

BOOM! Starting today you can use open source frontier LLMs in Visual Studio Code with HF Inference Providers! 🔥 Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more All of it packaged in one simple extension - try it out today 🤗

Vaibhav (VB) Srivastav

41,201 次观看 • 11 个月前

A record 450 Al developers joined Llamapalooza NYC at NASDAQ in the heart of Times Square. Llamapalooza is a one-of-a-kind conference around fine-tuning, inference and using llama in production. We learned from the model creators AI at Meta, infra providers @CerebrasSystems, and llama developers Hugging Face. Big thanks to Val Town, Haize Labs , Slingshot AI, and LiveKit for incredible demos and the hundreds of llama developers who joined us. See you at the next one!

A record 450 Al developers joined Llamapalooza NYC at NASDAQ in the heart of Times Square. Llamapalooza is a one-of-a-kind conference around fine-tuning, inference and using llama in production. We learned from the model creators AI at Meta, infra providers @CerebrasSystems, and llama developers Hugging Face. Big thanks to Val Town, Haize Labs , Slingshot AI, and LiveKit for incredible demos and the hundreds of llama developers who joined us. See you at the next one!

Cerebras

13,143 次观看 • 1 年前

Open source/weight models are often used in regulated industries like Health Care or Financial Services, where they handle personally identifiable data, and can't send it to proprietary LLM providers. We recently chatted to Vaibhav (VB) Srivastav about the partnership VS Visual Studio Code and Hugging Face inference providers have to let you use open weight models directly in your IDE! Something that surprised me was just how fast inference providers like Cerebras make it to generate code! In this episode we made a journaling CLI tool using Qwen! I personally love open source and hope more of these models will become small enough to run locally!

Open source/weight models are often used in regulated industries like Health Care or Financial Services, where they handle personally identifiable data, and can't send it to proprietary LLM providers. We recently chatted to Vaibhav (VB) Srivastav about the partnership VS Visual Studio Code and Hugging Face inference providers have to let you use open weight models directly in your IDE! Something that surprised me was just how fast inference providers like Cerebras make it to generate code! In this episode we made a journaling CLI tool using Qwen! I personally love open source and hope more of these models will become small enough to run locally!

Marlene Mhangami

18,215 次观看 • 9 个月前

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 次观看 • 22 天前