Sash Rush, of Cornell Tech and Hugging Face, catches us up on all the things happening with Hugging Face and transformers. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library wasn’t even a thing yet. Oh how things have changed! This time Sasha tells us all about Hugging Face’s open source NLP work, gives us an intro to the key components of transformers, and shares his perspective on the future of AI research conferences.

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Featuring:

• Sasha Rush – Website, X
• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

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• Hugging Face
• Transformers library
• Tokenizers library
• NLP (data and evaluation metrics) library
• Previous Practical AI episode with Hugging Face
• TechCrunch announcement about Hugging Face’s recent fundraising
• The annotated transformer
• 2000+ models in Hugging Face’s model hub
• Attention is all you need paper
• Mini Conf tools

Something missing or broken? PRs welcome!