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 – Twitter, Website
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Giveaway details!! Check this blog post for all the details to win a free copy of Dracula PRO && 14 Habits of Highly Productive Developers

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!

🤗 All things transformers with Hugging Face 46:43 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

🤗 All things transformers with Hugging Face