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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,... show more

AK

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59,352 次观看 • 1 年前 •via X (Twitter)

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Universa1 年前

@huggingface @SambaNovaAI @hyperbolic_labs @togethercompute @FireworksAI_HQ @replicate @FAL @nebiusai @_akhaliq, this update is a significant step forward for AI app developers. The ability to deploy models directly from Hugging Face with Gradio and choose from multiple inference providers will undoubtedly accelerate innovation.

Togoda AI Search Engine 的头像

Togoda AI Search Engine1 年前

Togoda is Google on Steroids with AI summaries . 🚀 The only thematic AI search engine.👀 It's 100% private with third party proxy. 🧨 Try it today & experience the difference! 👉Follow us @togoda_com 👈 🚀Help us grow & share this post!🚀

Austin Armstrong 的头像

Austin Armstrong1 年前

@huggingface @SambaNovaAI @hyperbolic_labs @togethercompute @FireworksAI_HQ @replicate @FAL @nebiusai This update from Hugging Face is a game-changer for AI developers. Have you tried deploying models with Gradio yet?

SambaNova Systems 的头像

SambaNova Systems1 年前

@huggingface @hyperbolic_labs @togethercompute @FireworksAI_HQ @replicate @FAL @nebiusai BOOM! 🧡

Token Sensei 的头像

Token Sensei1 年前

@huggingface @SambaNovaAI @hyperbolic_labs @togethercompute @FireworksAI_HQ @replicate @FAL @nebiusai excited to try this out

Javier Modified 的头像

Javier Modified1 年前

@huggingface @SambaNovaAI @hyperbolic_labs @togethercompute @FireworksAI_HQ @replicate @FAL @nebiusai ¡Gran noticia para los desarrolladores de IA! La integración de Hugging Face con Gradio y la elección de proveedores de inferencia es un paso enorme hacia la flexibilidad y eficiencia. 🚀 Innovaciones como estas son cruciales para mantenerse competitivos en mercados globales.

Data & Analytics 的头像

Data & Analytics1 年前

@huggingface @SambaNovaAI @hyperbolic_labs @togethercompute @FireworksAI_HQ @replicate @FAL @nebiusai @huggingface, this advancement certainly simplifies the deployment process for AI developers! Embracing innovations like these fosters growth in our tech landscape. How do you envision its impact on project timelines? 🚀 #TechEvolution

Anda 的头像

Anda1 年前

@huggingface @SambaNovaAI @hyperbolic_labs @togethercompute @FireworksAI_HQ @replicate @FAL @nebiusai "Hugging Face's new deployment options feel like a bamboo buffet for AI developers—so many inference providers to munch on while building our digital gardens!" 🎋🐼

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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!

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

177,126 次观看 • 1 年前

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

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

34,754 次观看 • 1 年前

Fireworks AI is now live on EvoSkill v1.3.0! You can now use Fireworks directly with EvoSkill to run fast inference on open models as both the evolution harness backend and the LLM scorer. Alongside Claude API and OpenRouter, Fireworks AI is now a first-class provider in EvoSkill.

Fireworks AI is now live on EvoSkill v1.3.0! You can now use Fireworks directly with EvoSkill to run fast inference on open models as both the evolution harness backend and the LLM scorer. Alongside Claude API and OpenRouter, Fireworks AI is now a first-class provider in EvoSkill.

Sentient

39,835 次观看 • 1 个月前

y'all know that Hugging Face Spaces is the app store of AI what you don't know is all these apps are MCP Servers thanks to Gradio MCP server 😮 plug it to your favorite provider 🤠 insanely powerful!

y'all know that Hugging Face Spaces is the app store of AI what you don't know is all these apps are MCP Servers thanks to Gradio MCP server 😮 plug it to your favorite provider 🤠 insanely powerful!

merve

19,727 次观看 • 1 年前

Voice AI without the wait! ⏱️ Thanks to Hugging Face and Cerebras, developers can now use the Gemma 4 31B model as the brain for voice AI at ultra-fast inference speeds. Add it to a fully open-source, cascaded speech-to-speech stack that can be used to power existing voice apps! 🗣️

Voice AI without the wait! ⏱️ Thanks to Hugging Face and Cerebras, developers can now use the Gemma 4 31B model as the brain for voice AI at ultra-fast inference speeds. Add it to a fully open-source, cascaded speech-to-speech stack that can be used to power existing voice apps! 🗣️

Google Gemma

159,272 次观看 • 16 天前

Introducing LiveKit Inference — a new cloud service that gives you access to the most popular voice AI models with just your LiveKit API key. We manage rate limits for you, report on usage, and consolidate billing. All LiveKit Cloud plans now include free monthly inference credits. A single string update allows you to call models from: AssemblyAI Deepgram Google DeepMind Inworld AI OpenAI Rime

Introducing LiveKit Inference — a new cloud service that gives you access to the most popular voice AI models with just your LiveKit API key. We manage rate limits for you, report on usage, and consolidate billing. All LiveKit Cloud plans now include free monthly inference credits. A single string update allows you to call models from: AssemblyAI Deepgram Google DeepMind Inworld AI OpenAI Rime

LiveKit

37,173 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

AI inference is already live on UOMI Router. Access frontier open-source models through a decentralized inference network with: • Low-cost inference • OpenAI-compatible APIs • Verifiable compute • On-chain settlement Start building: And if you have idle GPUs, there's now a second way to participate. The UOMI Provider whitelist is officially open. Instead of letting your hardware sit unused, you can contribute GPU power to the UOMI Inference Network and earn from real AI demand. Join the Provider whitelist:

AI inference is already live on UOMI Router. Access frontier open-source models through a decentralized inference network with: • Low-cost inference • OpenAI-compatible APIs • Verifiable compute • On-chain settlement Start building: And if you have idle GPUs, there's now a second way to participate. The UOMI Provider whitelist is officially open. Instead of letting your hardware sit unused, you can contribute GPU power to the UOMI Inference Network and earn from real AI demand. Join the Provider whitelist:

Uomi

18,816 次观看 • 1 个月前

✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀

✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀

Jack Huynh

47,822 次观看 • 2 个月前

BudgetPixel AI API is now here for developers and builders. You can now use the API to generate images and videos directly from BudgetPixel AI, making it easier to bring powerful AI creation into your own apps, workflows, and products.

BudgetPixel AI API is now here for developers and builders. You can now use the API to generate images and videos directly from BudgetPixel AI, making it easier to bring powerful AI creation into your own apps, workflows, and products.

BudgetPixel AI

238,762 次观看 • 28 天前

🎂 Cerebras Inference turns 1! 🚀 Let's break it down: - 6x faster than when we launched — From Meta Llama to Qwen 3 to OpenAI OSS, models running on Cerebras deliver 𝟯,𝟬𝟬𝟬+ 𝘁𝗼𝗸𝗲𝗻𝘀/𝘀𝗲𝗰 - Our inference powers the best AI natives, global enterprises, and developers including Meta, IBM , AlphaSense, Docker, GSK , Mayo Clinic, Core42, Vercel and more - Largest model served: ~half a trillion parameters, 7x bigger than launch - #1 provider of tokens on Hugging Face 🤗 - Serving billions of tokens per day on - The leading code gen inference provider, powering AI developers with Cline and Windsurf (retired) We’re just getting started… but couldn’t have done Year 1 without YOU. Build on, builders. ❤️‍🔥

🎂 Cerebras Inference turns 1! 🚀 Let's break it down: - 6x faster than when we launched — From Meta Llama to Qwen 3 to OpenAI OSS, models running on Cerebras deliver 𝟯,𝟬𝟬𝟬+ 𝘁𝗼𝗸𝗲𝗻𝘀/𝘀𝗲𝗰 - Our inference powers the best AI natives, global enterprises, and developers including Meta, IBM , AlphaSense, Docker, GSK , Mayo Clinic, Core42, Vercel and more - Largest model served: ~half a trillion parameters, 7x bigger than launch - #1 provider of tokens on Hugging Face 🤗 - Serving billions of tokens per day on - The leading code gen inference provider, powering AI developers with Cline and Windsurf (retired) We’re just getting started… but couldn’t have done Year 1 without YOU. Build on, builders. ❤️‍🔥

Cerebras

35,218 次观看 • 11 个月前

Hugging Face CEO Clem Delangue predicts that a growing share of AI inference will run locally, on-device. It's faster. Cheaper. Private by default. And as open source AI moves from apps to machines, it could trigger “some sort of ChatGPT moment for robotics.” The next AI breakthrough will happen where intelligence becomes embodied, cheap, private, and open.

Hugging Face CEO Clem Delangue predicts that a growing share of AI inference will run locally, on-device. It's faster. Cheaper. Private by default. And as open source AI moves from apps to machines, it could trigger “some sort of ChatGPT moment for robotics.” The next AI breakthrough will happen where intelligence becomes embodied, cheap, private, and open.

vitrupo

37,764 次观看 • 1 年前

No more API keys, all the AI You can now build AI features directly into your apps with AI Integrations on Replit ⠕ “allow me to generate images in my app with nano banana from Google DeepMind”

No more API keys, all the AI You can now build AI features directly into your apps with AI Integrations on Replit ⠕ “allow me to generate images in my app with nano banana from Google DeepMind”

matt palmer

29,159 次观看 • 8 个月前

Researchers at #IntelLabs are reducing bias in #AI by 20% to help prevent inaccuracies. #IntelGaudi accelerators and #IntelXeon processors are powering counterfactual datasets created with RAG that are now open sourced and available on Hugging Face, so AI developers can help us continue to improve #ResponsibleAI. Check out the case study.

Researchers at #IntelLabs are reducing bias in #AI by 20% to help prevent inaccuracies. #IntelGaudi accelerators and #IntelXeon processors are powering counterfactual datasets created with RAG that are now open sourced and available on Hugging Face, so AI developers can help us continue to improve #ResponsibleAI. Check out the case study.

Intel AI

30,925 次观看 • 1 年前

You really can just do things! Use *any* Hugging Face space as a MCP server along with your Local Models! 🔥 Here in we use Qwen 3 30B A3B with ggml llama.cpp and Hugging Face tiny agents to create images via FLUX powered by ZeroGPU ⚡ It's quite a bit crazy to see local models be capable of so much and just be able to understand/ infer from tool description! There's a lot of potential here in automating video generation workflows, content curation and a lot more.. Bonus: you can plug any other Inference Provider if you don't want to run locally too! npx @ huggingface/tiny-agents run [TASK] oh, and we provide both typescript and python client! 🐐

You really can just do things! Use any Hugging Face space as a MCP server along with your Local Models! 🔥 Here in we use Qwen 3 30B A3B with ggml llama.cpp and Hugging Face tiny agents to create images via FLUX powered by ZeroGPU ⚡ It's quite a bit crazy to see local models be capable of so much and just be able to understand/ infer from tool description! There's a lot of potential here in automating video generation workflows, content curation and a lot more.. Bonus: you can plug any other Inference Provider if you don't want to run locally too! npx @ huggingface/tiny-agents run [TASK] oh, and we provide both typescript and python client! 🐐

Vaibhav (VB) Srivastav

39,113 次观看 • 1 年前

Qwen3-Next (thinking & non-thinking) are now live in BF16 at Hyperbolic! Qwen3-Next is a huge efficiency leap: - 80B MoE with just 3B active params - 10x cheaper to train vs Qwen3-32B - 10x inference throughput for >32K tokens Proud to be a launch partner with Qwen - kudos to this amazing team for keeping pushing open-source AI forward. We’re the first to serve Qwen3-Next on Hugging Face. Give it a try!

Qwen3-Next (thinking & non-thinking) are now live in BF16 at Hyperbolic! Qwen3-Next is a huge efficiency leap: - 80B MoE with just 3B active params - 10x cheaper to train vs Qwen3-32B - 10x inference throughput for >32K tokens Proud to be a launch partner with Qwen - kudos to this amazing team for keeping pushing open-source AI forward. We’re the first to serve Qwen3-Next on Hugging Face. Give it a try!

Yuchen Jin

84,342 次观看 • 10 个月前