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While everyone is hating on Meta for the Llama 4 debacle, they dropped some very impressive CLIP-like models and VLMs They came out in two twin papers, released on the same day Here's a summary, some honest thoughts, and some things I personally liked and disliked of them [1/n]

Real-time SmolVLM in a web-browser with transformers.js. All running locally with no installs. Just open the website.

📢 We have partnered with @HuggingFace to widen model access! 🤗 With this integration, you can: - Launch Hugging Face models directly in Kaggle Notebooks - Discover linked public code examples - Seamlessly explore across both platforms Learn more: kaggle.com/blog/kaggle-hu…

HuggingFace released a nice blog post about the current state of VLMs Here's a summary, covering recent trends, specialized capabilities, agents, video LMs, new alignment techniques, and HF's fav VLMs [1/8] Recent trends:

Crazy what you can do on Hugging Face in 40 seconds

The Transformers library is undergoing it's largest pivot to date 🙌 It now cements its role as the central model definition, irrespective of the backend and runner. One ground truth to bring more reliability across the ecosystem. Why is this important?

is this.. AGI? 😮 meet any-to-any models on Hugging Face, models that take in and output multiple modalities (e.g. a model that takes image + text input and responds with speech!) we've shipped a beginner friendly doc on everything you need to know, on the next one ⤵️

We just opened a new community board for Transformers! We'll use this for new announcements, new features, roadmap updates, and we welcome any kind of question about the library or transformers model usage. Link below!