Hugging Face (Twitter)
RT @reach_vb: You asked we delivered! Hugging Face Inference Providers is now fully OpenAI client compatible! 🔥
Simply append the provider name to the model ID
OpenAI client is arguably the most used client when it comes to LLMs, so getting this right is a big milestone for the team! 🤗
RT @reach_vb: You asked we delivered! Hugging Face Inference Providers is now fully OpenAI client compatible! 🔥
Simply append the provider name to the model ID
OpenAI client is arguably the most used client when it comes to LLMs, so getting this right is a big milestone for the team! 🤗
Hugging Face (Twitter)
RT @calebfahlgren: The @huggingface Inference Providers is getting even easier to use! Now with a unified OpenAI client route.
Just use the model id and it works. You can also set your preferred provider with `:groq` for example.
Here's how easy it is to use @GroqInc and Kimi K2
RT @calebfahlgren: The @huggingface Inference Providers is getting even easier to use! Now with a unified OpenAI client route.
Just use the model id and it works. You can also set your preferred provider with `:groq` for example.
Here's how easy it is to use @GroqInc and Kimi K2
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Hugging Face (Twitter)
RT @cline: 🤗🤗🤗
🤗❤️🤗 @huggingface & Cline = your LLM playground
🤗🤗🤗
You can access Kimi K2 & 6,140 (!) other open source models in Cline.
RT @cline: 🤗🤗🤗
🤗❤️🤗 @huggingface & Cline = your LLM playground
🤗🤗🤗
You can access Kimi K2 & 6,140 (!) other open source models in Cline.
Hugging Face (Twitter)
RT @marimo_io: Announcing molab: a cloud-hosted marimo notebook workspace with link-based sharing.
Experiment on AI, ML and data using the world’s best Python (and SQL!) notebook.
Launching with examples from @huggingface, @weights_biases, and using @PyTorch
https://marimo.io/blog/announcing-molab
RT @marimo_io: Announcing molab: a cloud-hosted marimo notebook workspace with link-based sharing.
Experiment on AI, ML and data using the world’s best Python (and SQL!) notebook.
Launching with examples from @huggingface, @weights_biases, and using @PyTorch
https://marimo.io/blog/announcing-molab
marimo.io
Announcing molab
Cloud-based notebooks for our community
Hugging Face (Twitter)
RT @cline: Here's how you can use the @huggingface provider in Cline 🤗
(thread)
RT @cline: Here's how you can use the @huggingface provider in Cline 🤗
(thread)
Hugging Face (Twitter)
RT @Wauplin: Big update: Hugging Face Inference Providers now work out of the box with the OpenAI client!
Just add the provider name to the model ID and you’re good to go: "moonshotai/Kimi-K2-Instruct:groq"
RT @Wauplin: Big update: Hugging Face Inference Providers now work out of the box with the OpenAI client!
Just add the provider name to the model ID and you’re good to go: "moonshotai/Kimi-K2-Instruct:groq"
Hugging Face (Twitter)
RT @arcprize: ARC-AGI-3 Preview games need to be pressure tested. We’re hosting a 30-day agent competition in partnership with @huggingface
We’re calling on the community to build agents (and win money!)
https://arcprize.org/competitions/arc-agi-3-preview-agents/
RT @arcprize: ARC-AGI-3 Preview games need to be pressure tested. We’re hosting a 30-day agent competition in partnership with @huggingface
We’re calling on the community to build agents (and win money!)
https://arcprize.org/competitions/arc-agi-3-preview-agents/
Hugging Face (Twitter)
RT @NVIDIAAIDev: 📣 Announcing the release of OpenReasoning-Nemotron: a suite of reasoning-capable LLMs which have been distilled from the DeepSeek R1 0528 671B model. Trained on a massive, high-quality dataset distilled from the new DeepSeek R1 0528, our new 7B, 14B, and 32B models achieve SOTA perf on a wide range of reasoning benchmarks for their respective sizes in the domain of mathematics, science and code. The models are available on @huggingface🤗: nvda.ws/456WifL
RT @NVIDIAAIDev: 📣 Announcing the release of OpenReasoning-Nemotron: a suite of reasoning-capable LLMs which have been distilled from the DeepSeek R1 0528 671B model. Trained on a massive, high-quality dataset distilled from the new DeepSeek R1 0528, our new 7B, 14B, and 32B models achieve SOTA perf on a wide range of reasoning benchmarks for their respective sizes in the domain of mathematics, science and code. The models are available on @huggingface🤗: nvda.ws/456WifL
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Hugging Face (Twitter)
RT @hugobowne: Training big models used to be reserved for OpenAI or DeepMind.
Now? Builders everywhere have access to clusters of 4090s, Modal credits, and open-weight models like LLaMA 3 and Qwen. 🛠️
In this episode of @VanishingData, @TheZachMueller (@huggingface ), joins me to break down what scaling actually looks like in 2025 for individual devs and small teams:
• When to leave Colab and how not to drown in infra the moment you do
• How Accelerate simplifies training and inference across multiple GPUs
• Why “data parallelism” is just the start and where things break
• Lessons from helping everyone from solo devs to research labs scale up
• What people still get wrong about distributed training and inference
Links in 🧵
1/
RT @hugobowne: Training big models used to be reserved for OpenAI or DeepMind.
Now? Builders everywhere have access to clusters of 4090s, Modal credits, and open-weight models like LLaMA 3 and Qwen. 🛠️
In this episode of @VanishingData, @TheZachMueller (@huggingface ), joins me to break down what scaling actually looks like in 2025 for individual devs and small teams:
• When to leave Colab and how not to drown in infra the moment you do
• How Accelerate simplifies training and inference across multiple GPUs
• Why “data parallelism” is just the start and where things break
• Lessons from helping everyone from solo devs to research labs scale up
• What people still get wrong about distributed training and inference
Links in 🧵
1/
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Hugging Face (Twitter)
RT @NVIDIAAIDev: 🎶 Meet Audio-Flamingo 3 – a fully open LALM trained on sound, speech, and music datasets. 🎶
Handles 10-min audio, long-form text, and voice conversations. Perfect for audio QA, dialog, and reasoning.
On @huggingface ➡️ https://huggingface.co/nvidia/audio-flamingo-3
From #NVIDIAResearch.
RT @NVIDIAAIDev: 🎶 Meet Audio-Flamingo 3 – a fully open LALM trained on sound, speech, and music datasets. 🎶
Handles 10-min audio, long-form text, and voice conversations. Perfect for audio QA, dialog, and reasoning.
On @huggingface ➡️ https://huggingface.co/nvidia/audio-flamingo-3
From #NVIDIAResearch.
Hugging Face (Twitter)
RT @reach_vb: Qwen COOKED - beats Kimi K2 and competitive to Claude Opus 4 at 25% total parameters 🤯
RT @reach_vb: Qwen COOKED - beats Kimi K2 and competitive to Claude Opus 4 at 25% total parameters 🤯
Hugging Face (Twitter)
RT @reach_vb: missed this, @NVIDIAAIDev silently dropped Open Reasoning Nemotron models (1.5-32B), SoTA on LiveCodeBench, CC-BY 4.0 licensed 🔥
> 32B competing with Qwen3 235B and DeepSeek R1
> Available across 1.5B, 7B, 14B and 32B size
> Supports upto 64K output tokens
> Utilises GenSelect (combines multiple parallel generations)
> Built on top of Qwen 2.5 series
> Allows commercial usage
Works out of the box in transformers, vllm, mlx, llama.cpp and more!
RT @reach_vb: missed this, @NVIDIAAIDev silently dropped Open Reasoning Nemotron models (1.5-32B), SoTA on LiveCodeBench, CC-BY 4.0 licensed 🔥
> 32B competing with Qwen3 235B and DeepSeek R1
> Available across 1.5B, 7B, 14B and 32B size
> Supports upto 64K output tokens
> Utilises GenSelect (combines multiple parallel generations)
> Built on top of Qwen 2.5 series
> Allows commercial usage
Works out of the box in transformers, vllm, mlx, llama.cpp and more!
Hugging Face (Twitter)
RT @lhoestq: A new Pandas feature landed 3 days ago and no one noticed.
Upload ONLY THE NEW DATA to dedupe-based storage like @huggingface (Xet). Data that already exist in other files don't need to be uploaded.
Possible thanks to the recent addition of Content Defined Chunking for Parquet.
RT @lhoestq: A new Pandas feature landed 3 days ago and no one noticed.
Upload ONLY THE NEW DATA to dedupe-based storage like @huggingface (Xet). Data that already exist in other files don't need to be uploaded.
Possible thanks to the recent addition of Content Defined Chunking for Parquet.
Hugging Face (Twitter)
RT @casper_hansen_: This is not a SMALL update. This is huge! Give us this for every model please Qwen team🙏
RT @casper_hansen_: This is not a SMALL update. This is huge! Give us this for every model please Qwen team🙏
Hugging Face (Twitter)
RT @nic_o_martin: Beyond happy to announce that I'm joining 🤗 @huggingface as a #MachineLearningEngineer focused on #WebML!
RT @nic_o_martin: Beyond happy to announce that I'm joining 🤗 @huggingface as a #MachineLearningEngineer focused on #WebML!
Hugging Face (Twitter)
RT @ClementDelangue: Now number one trending dataset on @huggingface, out of almost half a million! huggingface.co/datasets https://twitter.com/NousResearch/status/1945181587600982450#m
RT @ClementDelangue: Now number one trending dataset on @huggingface, out of almost half a million! huggingface.co/datasets https://twitter.com/NousResearch/status/1945181587600982450#m
Hugging Face (Twitter)
RT @MaziyarPanahi: Perfect Sunday: I just used Kimi-K2 by @Kimi_Moonshot to vibe code a @Gradio app! 🔥
You can use "Anycoder" Space by @_akhaliq hosted on @huggingface for free. It was super quick! 🤗
PS: I am aware of using Gradio to vibe code another Gradio! Pun very much intended here! 😂
RT @MaziyarPanahi: Perfect Sunday: I just used Kimi-K2 by @Kimi_Moonshot to vibe code a @Gradio app! 🔥
You can use "Anycoder" Space by @_akhaliq hosted on @huggingface for free. It was super quick! 🤗
PS: I am aware of using Gradio to vibe code another Gradio! Pun very much intended here! 😂
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Hugging Face (Twitter)
RT @AdinaYakup: From paper to project page in one click🚀
AnyCoder 🔥 turns research PDFs into structured, shareable project pages in seconds!
https://huggingface.co/spaces/akhaliq/anycoder
Powered by 8 SoTA open models on @huggingface
RT @AdinaYakup: From paper to project page in one click🚀
AnyCoder 🔥 turns research PDFs into structured, shareable project pages in seconds!
https://huggingface.co/spaces/akhaliq/anycoder
Powered by 8 SoTA open models on @huggingface