[P] Blog post + streamlit demo on a few recent methods for zero-shot learning in NLP

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[P] Blog post + streamlit demo on a few recent methods for zero-shot learning in NLP


Hey all, Joe from Hugging Face here. Even before GPT-3's release last week there's been some interest in the NLP community recently in understanding learning in low-data regimes. For those of you interested in reading about the tasks of zero- and few-shot learning, I wrote up a blog post + demo covering a few recent methods using transformers.

Blog post: https://joeddav.github.io/blog/2020/05/29/ZSL.html

Colab version: https://colab.research.google.com/github/joeddav/blog/blob/master/_notebooks/2020-05-29-ZSL.ipynb

Zero-shot topic classification demo: https://huggingface.co/zero-shot/

I hope some of you find it useful and/or insightful!

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