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transformers/examples/longform-qa
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Sam Shleifer 353b8f1e7a
Add mbart-large-cc25, support translation finetuning (#5129) 
improve unittests for finetuning, especially w.r.t testing frozen parameters
fix freeze_embeds for T5
add streamlit setup.cfg
2020-07-07 13:23:01 -04:00
..
eli5_app.py Add mbart-large-cc25, support translation finetuning (#5129) 2020-07-07 13:23:01 -04:00
eli5_utils.py [tokenizers] Updates data processors, docstring, examples and model cards to the new API (#5308) 2020-06-26 19:48:14 +02:00
README.md Typo (#5069) 2020-06-16 16:46:20 -04:00

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.