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!

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.

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 🍌 🎬)

Hugging Face (Twitter)

RT @QGallouedec: sept 4
8-11 am pst
@huggingface science team AMA
reddit r/LocalLlama
👽

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

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

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!

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

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

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?

‌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.

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!

‌Hugging Face (Twitter)

RT @vanstriendaniel: Blogged: Fine-tuning a VLM for art history in hours, not weeks

iconclass-vlm generates museum catalog codes (fun fact: "71H7131" = "Bathsheba with David's letter"!)

@huggingface TRL + Jobs = magic ✨

Guide here:

‌Hugging Face (Twitter)

RT @thibaudfrere: FineVision is out! A massive open-source dataset by @huggingface for training Vision-Language Models:

- 17.3M images
- 24.3M samples
- 88.9M turns
- 9.5B answer tokens

This is the inaugural article using our new scientific publishing template!

https://huggingface.co/spaces/HuggingFaceM4/FineVision

Hugging Face (Twitter)

RT @eliebakouch: We're starting the r/LocalLLaMa with a very nice line up NOW! We also have a nice new vision dataset release that you can us question about. 👀
Join us 🤗

Hugging Face (Twitter)

RT @ClementDelangue: Super happy to sign a partnership with @ESCP_bs, the oldest business school in the world, to give full access of Hugging Face to all 11,000 students and faculty!

It's particularly meaningful for me as I was a student there 15 years ago, with Dean Laulusa, who was part of my admission jury, that I had as a professor & recommended me for my first internship. I also started my first startup in the basement of the school with @BlueFactory_ by @MaevaTordo!

AI is going to change education so can't wait to see what ESCP students and faculty will build!

Hugging Face (Twitter)

RT @julien_c: Soon, those two will be powered by @LeRobotHF, our open source OS for Bipedal, quadrupedal, or single-arm/dual-arm robots! ⤵️

Thanks @UnitreeRobotics and @AdinaYakup

Hugging Face (Twitter)

RT @lhoestq: AI engineers don't have to struggle to get the datasets ready for training anymore

1/ Prepare your raw data (from database/crawls) into AI ready datasets

2/ Publish on @huggingface and so your team can look at the data and train/eval easily

+uploads are crazy fast with Xet!

Hugging Face (Twitter)

RT @moby763canary21: I'm finally having my Twitter moment 😂

Thanks @ClementDelangue and @huggingface

Hugging Face (Twitter)

RT @reach_vb: We just added OpenAI Codex CLI formal support in Hugging Face MCP Server - go play with it now!! 🔥

‌Hugging Face (Twitter)

RT @AdinaYakup: Latest update from @Kimi_Moonshot
Kimi K2 >>> Kimi K2-Instruct-0905🔥

https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905

✨ 32B activated / 1T total parameters
✨ Enhanced agentic coding intelligence
✨ Better frontend coding experience
✨ 256K context window for long horizon tasks