Science

    Our Research contributions

    We’re on a journey to advance and democratize NLP for everyone. Along the way, we contribute to the development of technology for the better.

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    HMTL

    Hierarchical Multi-Task Learning

    Our paper has been accepted to AAAI 2019. We have open-sourced code and demo.

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    🐸

    Thomas Wolf et AL.

    Meta-learning for language modeling

    Our workshop paper on Meta-Learning a Dynamical Language Model was accepted to ICLR 2018. We use our implementation to power 🤗.

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    Auto-complete your thoughts

    Write with Transformers

    This web app, built by the Hugging Face team, is the official demo of the Transformers repository's text generation capabilities.

    Start writing

    🤖

    State of the art

    Neuralcoref

    Our coreference resolution module is now the top open source library for coreference. You can train it on your own dataset and language.

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    🐎

    Victor Sanh et AL. 2019

    DistilBERT

    Distilllation. A smaller, faster, lighter, cheaper version of BERT. Code and weights are available through Transformers.

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