Post recenti
Pag. 82 di 85 · 1,011 post
Pubblicato 4 set
Hugging Face (Twitter) RT @RisingSayak: You can now use flash-attention 3 through 🤗 `kernels`, skipping its long build times entirely 🔥 Comes with full `torch.compile` support with fullgraph traceability. Time to melt those hoppers!
Pubblicato 4 set
Hugging Face (Twitter) RT @natolambert: Pretty big vibe shift coming from a predominantly AI Safety oriented org to say "gatekeeping access to general-purpose technology is not a sustainable or proportionate response to low-confidence evidence of serious risk." Pretty much my point for a few years.
Pubblicato 4 set
Hugging Face (Twitter) RT @LeRobotHF: 🤗 New arrivals at Hugging Face LeRobot! 🤗 We just got two fresh Unitree robots 🤖🐕, which means more robots will be added to the library 👀! 👉 Which additions would you like to see in LeRobot?
Pubblicato 4 set
Hugging Face (Twitter) RT @dylan_ebert_: HunyuanWorld-Voyager - Explorable 3D World Generation 📹 World-consistent video diffusion 🌎 Long-range world exploration ⚙️ Scalable data engine available on Hugging Face
Pubblicato 4 set
Hugging Face (Twitter) RT @victormustar: Wan 2.2: First frame → Last frame: Upload both as images to get excellent results. Amazing what open-source AI video can do now 😍 ⬇️ Demo available on Hugging Face
Pubblicato 4 set
Hugging Face (Twitter) RT @lvwerra: The Hugging Face research team is doing an AMA on r/LocalLlaMa tomorrow! 🚀 Join if you are interested in: > How did we get into the field? We cover a broad range of backgrounds and paths! > How can you do impactful things while being more limited in resources than other labs? > How do we decide which projects to work on when so many things are exciting? > How does a fully remote team in a high velocity field even work? > What's the most exciting thing coming in the next few months? > What's your favourite optimizer and why is it Adam? > How does Hugging Face make money?🤫 Or whatever else you want to ask - it's an AMA!
Pubblicato 4 set
Hugging Face (Twitter) RT @lhoestq: "we made uploads to @huggingface using @ApacheSpark much faster than to any other cloud storage" Spark is faster with Xet on Hugging Face for editing & publishing AI datasets 🔥 I explained how it works here👇 PS: it's 🤯 PS2: thumb up and sub👍🙏🤗🤗🤗 https://www.youtube.com/watch?v=vmwxVfye8fA?si=hp6Z3a28N0-bmZHF&t=2179
Pubblicato 4 set
Hugging Face (Twitter) RT @moby763canary21: I'm really glad that people are using my @huggingface model. It's really cool to contribute to Open ML! #ai#machinelearning#huggingface@ClementDelangue
Pubblicato 4 set
Hugging Face (Twitter) RT @QGallouedec: sept 4 8-11 am pst @huggingface science team AMA reddit r/LocalLlama 👽
Pubblicato 3 set
Hugging Face (Twitter) RT @multimodalart: we hacked Wan 2.2 and discovered that it does first and last frame filling, works out of the box on 🧨 diffusers i've built an app for it on @huggingface Spaces (which is powering powering our nano banana video mode too 🍌🎬)
Pubblicato 3 set
Hugging Face (Twitter) RT @Xianbao_QIAN: I'm very glad to see that the new translation model from @TencentHunyuan is now ranking the 3rd. It's a reminder that small domain tuned models are more valuable than they appears. Agentic stack needs both large and small models. Large models can handle planning and leverage sub-agents based on lean models to perform a particular task. Small models are cheap, fast and fine-tunable. They're not the opposite of large models but the complement to it.
Pubblicato 3 set
Hugging Face (Twitter) RT @LoubnaBenAllal1: Our science team at @huggingface will be doing an AMA on r/LocalLLaMA tomorrow at 8AM PST (5PM CET). The team members behind SmolLM, SmolVLM, FineWeb, and more will be present to answer all your questions!