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  1. proslijedio/la je Tweet
    31. sij

    Learn to build an interactive Transformer attention visualization based on and in under 30 minutes! We developed a minimal teaching example for our IAP class, publicly available here:

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  2. 24. sij

    Have some English text you want to pass to an transformer AND annotate with linguistic metadata from ? Check out to start aligning :)

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  3. proslijedio/la je Tweet
    4. pro 2019.

    BertViz now supports ALBERT, CamemBERT, CTRL, and other transformers through a simplified API: Can you guess which model below is BERT and which is ALBERT? (hint: cross-layer parameter sharing)

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  4. 14. lis 2019.

    Deployed demo consists of BERT_base from with an annotated corpus for the Wizard of Oz. Support for additional transformer models and corpora in development!

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  5. 14. lis 2019.

    Pleased to announce exBERT, an interactive tool to explore the embeddings and attention of Transformer models at different layers, with different heads. Demo: Paper: With

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