TabPFN-3: Technical Report
Paper • 2605.13986 • Published • 4
Ryan Scott
rtscott2001
AI & ML interests
Space, Spaceflight, Biology, Health, Medical, Life Support, Data, Science, Informatics #OpenScience
Recent Activity
upvoted a paper about 2 months ago
TabPFN-3: Technical Report liked a model about 2 months ago
Prior-Labs/tabpfn_3 liked a Space about 2 months ago
TabArena/leaderboardOrganizations
upvoted a paper about 2 months ago
liked a
model about 2 months ago
liked a
Space about 2 months ago
liked a
model over 2 years ago
liked a
Space over 2 years ago
reacted to andrewyng's post with ❤️ over 2 years ago
Post
DeepLearning.AI just announced a new short course: Open Source Models with Hugging Face 🤗, taught by Hugging Face's own Maria Khalusova, Marc Sun and Younes Belkada!
As many of you already know, Hugging Face has been a game changer by letting developers quickly grab any of hundreds of thousands of already-trained open source models to assemble into new applications. This course teaches you best practices for building this way, including how to search and choose among models.
You'll learn to use the Transformers library and walk through multiple models for text, audio, and image processing, including zero-shot image segmentation, zero-shot audio classification, and speech recognition. You'll also learn to use multimodal models for visual question answering, image search, and image captioning. Finally, you’ll learn how to demo what you build locally, on the cloud, or via an API using Gradio and Hugging Face Spaces.
Thank you very much to Hugging Face's wonderful team for working with us on this.
You can sign up for the course here: https://www.deeplearning.ai/short-courses/open-source-models-hugging-face/
As many of you already know, Hugging Face has been a game changer by letting developers quickly grab any of hundreds of thousands of already-trained open source models to assemble into new applications. This course teaches you best practices for building this way, including how to search and choose among models.
You'll learn to use the Transformers library and walk through multiple models for text, audio, and image processing, including zero-shot image segmentation, zero-shot audio classification, and speech recognition. You'll also learn to use multimodal models for visual question answering, image search, and image captioning. Finally, you’ll learn how to demo what you build locally, on the cloud, or via an API using Gradio and Hugging Face Spaces.
Thank you very much to Hugging Face's wonderful team for working with us on this.
You can sign up for the course here: https://www.deeplearning.ai/short-courses/open-source-models-hugging-face/
- 1 reply