Hugging Face
使用 Modal 进行轻量化构建 https://x.com/i/broadcasts/1yKAPPvOXALxb
Build Small Hackathon: OpenBMB https://x.com/i/broadcasts/1kKzDDpXvpoJv
Build Small Hackathon https://x.com/i/broadcasts/1kJzDDopqYqKv
Nemotron 3 Ultra!
Ideogram 刚刚发布了其最新、最强大的 v4 图像模型开源权重。
顶尖技术与开源权重完美结合 🤗
模型：https://huggingface.co/ideogram-ai/ideogram-4-nf4
演示：https://huggingface.co/spaces/multimodalart/ideogram4
https://x.com/ideogram_ai/status/2062202208700313872?s=20
Ideogram 刚刚发布了其最新、最强的 v4 图像模型开源权重。顶尖技术与开源权重完美契合 🤗。
https://twitter.com/huggingface/status/2061495792246915131/photo/1
Hugging Face Hub 的开放数据集刚刚突破 100 万 🎉
开放模型离不开开放数据。在最棒的 AI 社区的共同努力下，我们今天达成了这一里程碑！ 🤗
向下一个百万迈进 🚀
🐳回来了！
最新的开源编程 SOTA 🤗
This might be the biggest AI hackathon ever:
* >6,300 registrants
* Runs for 2 weeks (Nov. 14-30)
* Open to anyone, anywhere virtually
* $20,000 in cash prizes + $3.5M+ in sponsor credits
Hosted by @Anthropic and @Gradio, along with 10 sponsors, join kickoff in 30 minutes 👇
Sun's out, models out. 😎
@IBM & @NASA dropped Surya, an open-source heliophysics model trained on 14 years of observations from NASA’s Solar Dynamics Observatory, and it's 🔥🔥🔥. https://twitter.com/huggingface/status/1958163027238223985/photo/1
欢迎 @OpenAI 入驻 @huggingface！
Kimi K2 is number one trending on HF, congrats! https://twitter.com/huggingface/status/1944155602583691492/photo/1
非常激动地宣布，我们将收购 @pollenrobotics，致力于将开源机器人带向世界！🤖
自从 @RemiCadene 从特斯拉加入以来，得益于 @LeRobotHF 和 Hugging Face Hub，我们已成为应用最广泛的开源机器人软件平台。现在，我们正... https://twitter.com/huggingface/status/1911785683376648232/photo/1
我们很高兴能与 @AIatMeta 合作，通过 Xet 将 Llama 4 Maverick (402B) 和 Scout (109B) 原生多模态语言模型引入 Hugging Face Hub 🤗。这两款 MoE 模型均基于高达 40 万亿 token 进行训练，涵盖 200 种语言，性能表现显著优于前代。
@deepseek_ai 祝贺这次惊艳的发布！🤩
模型权重和详细报告都齐了——简直是圣诞大礼！
https://huggingface.co/collections/deepseek-ai/deepseek-v3
QwQ is #1 trending! https://twitter.com/huggingface/status/1862618915643240604/photo/1
GoogleからGemma-2-JPNがリリースされました！このモデルはGemma 2 2Bを日本語でfine-tuneしたものです。Gemma 2の英語での性能と同レベルの性能で日本語をサポートします。
モデル一覧:
https://huggingface.co/collections/google/gemma-2-jpn-release
We passed 5 million users.
🥳That's 5 million of you who have signed up on the Hub 🚀 thank you for contributing to the ecosystem and making open Machine Learning happen!
We're just getting started 🤗 https://twitter.com/huggingface/status/1825620479895547992/photo/1
你最喜欢的开源大模型是哪个？为什么？🤗
The Open Source community is amazing 🤗
We're having some infra issues; we're working on it. Please send hugs! 🤗
In the meantime,
import os
os.environ['HF_HUB_OFFLINE']=1
Hugging Face 🫶 @GoogleColab
With the latest release of huggingface_hub, you don't need to manually log in anymore. Create a secret once and share it with every notebook you run. 🤗
pip install --upgrade huggingface_hub
Check it out!👇 https://twitter.com/huggingface/status/173
Zephyr 7b beats Llama 70b on MT Bench 🤯🤯🤯 https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha https://twitter.com/huggingface/status/1711780979574976661/photo/1
How to train a Llama 2 chatbot (a step-by-step guide, designed for non-coders)
https://huggingface.co/blog/Llama2-for-non-engineers
Code Llama: Now on Hugging Chat 💻🦙
Try out the 34B Instruct model for free with super fast inference!
👉 https://huggingface.co/chat/ https://twitter.com/huggingface/status/1696090134309974362/video/1
TRL 🤗 Hugging Face
很高兴宣布，我们将通过 TRL 加大力度，致力于推动 RLHF 和强化学习的普及。作为 @huggingface 家族的新成员，TRL 由团队成员 @lvwerra 开发并主导 🎉🎉
开始训练你的第一个 RLHF 模型 👉 https://github.com/huggingface/trl
Hugging Face is now part of the PyTorch Foundation as a premier member 🤝
We have been collaborating with the PyTorch team for the past four years and are committed to supporting the project.
We share an objective: to lower the barrier of entry to ML.
https://pytorch.org/blog/h
Llama 2: Now on Hugging Chat 🤗🦙
Try out the 70B Chat model for free with super fast inference, web search, and powered by open-source tools!
👉 https://huggingface.co/chat/ https://twitter.com/huggingface/status/1681758402995798016/video/1
At Hugging Face, we are working to enable you to easily build and serve your own LLMs 🧑💻👨💻👩💻
In this blog, we talk about the amazing world of open-source LLMs, the challenges, and how the Hugging Face ecosystem can help you 🪐
Read about them here 👉https://huggingface.co/blog/o
We are looking into an incident where a malicious user took control over the Hub organizations of Meta/Facebook & Intel via reused employee passwords that were compromised in a data breach on another site. We will keep you updated 🤗
📣 Calling all game dev and AI enthusiasts!🎮
Already 400 people signed up for the first Open Source AI Game Jam, where you'll use AI tools to make a game in a weekend🔥
Sign up here 👉 https://itch.io/jam/open-source-ai-game-jam
What AI tools? Let's focus today on Audio tools 🔊
⬇
🚨Exciting news! Next week, we’ll be launching a brand-new Audio Course! 🤗
Sign up today (https://huggingface.us17.list-manage.com/subscribe?u=7f57e683fa28b51bfc493d048&id=7869673053) and join us for a LIVE course launch event featuring amazing guests like @DynamicWebPaige, Seokh
🤗 Transformers has been built by, with, and for the community.
Reaching 100k ⭐ on GitHub is a testament to ML's reach and the community's will to innovate and contribute.
To celebrate, we highlight 100 incredible projects in transformers' vicinity.
https://github.com/huggingfa
The first RNN in transformers! 🤯
Announcing the integration of RWKV models in transformers with @BlinkDL_AI and RWKV community!
RWKV is an attention free model that combines the best from RNNs and transformers.
Learn more about the model in this blogpost: https://huggingface.co/b
We just released Transformers' boldest feature: Transformers Agents.
This removes the barrier of entry to machine learning
Control 100,000+ HF models by talking to Transformers and Diffusers
Fully multimodal agent: text, images, video, audio, docs...🌎
https://huggingface.co/d
SAM, the groundbreaking segmentation model from @Meta is now in available in 🤗 Transformers!
What does this mean?
1. One line of code to load it, one line to run it
2. Efficient batching support to generate multiple masks
3. pipeline support for easier usage
More details: 🧵 htt
THIS IS BIG! 👀
It's now possible to take any of the >30,000 ML apps from Spaces and run them locally (or on your own infrastructure) with the new "Run with @Docker" feature. 🔥🐳
See an app you like? Run it yourself in just 2 clicks🤯 https://twitter.com/huggingface/status/1641
Today we are excited to announce a new partnership with @awscloud! 🔥
Together, we will accelerate the availability of open-source machine learning 🤝
Read the post 👉 https://huggingface.co/blog/aws-partnership
It's been an exciting year for 🤗Transformers. We tripled the number of weekly active users over 2022, with over 1M users most weeks now and 300k daily pip installs on average🤯 https://twitter.com/huggingface/status/1609162974626779136/photo/1
Hugging Face 向日本社区发布公告！
我们已开始对 Hugging Face 课程进行日语翻译。在东北大学学生大使们的帮助下，第一章已翻译完成。后续我们将持续稳步推进翻译工作。欢迎大家阅读课程，学习并尝试使用 Hugging Face Transformers！
Scikit-Learn and 🤗 join forces!
With a growing number of tabular classification & regression checkpoints, we believe statistical ML has its place on the HF Hub.
We're excited to partner with sklearn, statistical ML champion, and move forward together.
https://blog.scikit-l
日本からの嬉しいお知らせです！rinnaが日本語で学習したJapanese Stable DiffusionがHugging Face Spacesでデモ化されました！ https://huggingface.co/spaces/rinna/japanese-stable-diffusion https://twitter.com/huggingface/status/1572160942611333121/photo/1
Transformers v4.22 发布，首次引入视频模型！🎥
💥VideoMAE：视频掩码自编码器
💥X-CLIP：视频-语言 CLIP
其他亮点：
💥Swin Transformer v2
💥Pegasus-X
💥Donut
💥MobileViT
... 以及对 MacOS 的支持 (device="mps")！
Open Source
🖌️ Stable Diffusion meets 🧨Diffusers!
Releasing diffusers==0.2.2 with full support of @StabilityAI's Stable Diffusion & schedulers 🔥
Google colab:
👉 https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_diffusion.ipynb
Code snippet 👇 htt
🧨Diffusion models have been powering impressive ML apps, enabling DALL-E or Imagen
Introducing 🤗 diffusers: a modular toolbox for diffusion techniques, with a focus on:
🚄Inference pipelines
⏰Schedulers
🏭Models
📃Training examples
https://github.com/huggingface/diffusers https:/
Last week, @MetaAI introduced NLLB-200: a massive translation model supporting 200 languages.
Models are now available through the Hugging Face Hub, using 🤗Transformers' main branch.
Models on the Hub: https://huggingface.co/facebook/nllb-200-distilled-600M
Learn about NLLB-20
The Technology Behind BLOOM Training🌸
Discover how @BigscienceW used @MSFTResearch DeepSpeed + @nvidia Megatron-LM technologies to train the World's Largest Open Multilingual Language Model (BLOOM):
https://huggingface.co/blog/bloom-megatron-deepspeed