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![]() * finish benchmark * fix isort * fix setup cfg * retab * fix time measuring of tf graph mode * fix tf cuda * clean code * better error message |
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eli5_app.py | ||
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README.md |
Long Form Question Answering
This folder contains the code for the Long Form Question answering demo as well as methods to train and use a fully end-to-end Long Form Question Answering system using the 🤗transformers and 🤗nlp libraries.
You can use these methods to train your own system by following along the associate notebook or blog post.