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[P] A library of pretrained models for NLP: Bert, GPT, GPT-2, Transformer-XL, XLNet, XLM

Huggingface has released a new version of their open-source library of pretrained transformer models for NLP: PyTorch-Transformers 1.0 (formerly known as pytorch-pretrained-bert).

The library now comprises six architectures:

  • Google’s BERT,
  • OpenAI’s GPT & GPT-2,
  • Google/CMU’s Transformer-XL & XLNet and
  • Facebook’s XLM,

and a total of 27 pretrained model weights for these architectures.

The library focus on:

  • being superfast to learn & use (almost no abstractions),
  • providing SOTA examples scripts as starting points (text classification with GLUE, question answering with SQuAD and text generation using GPT, GPT-2, Transformer-XL, XLNet).

It also provides:

  • a unified API for models and tokenizers,
  • access to the hidden-states and attention weights,
  • compatibility with Torchscript…

Install: pip install pytorch-transformers

Quickstart: https://github.com/huggingface/pytorch-transformers#quick-tour

Release notes: https://github.com/huggingface/pytorch-transformers/releases/tag/v1.0.0

Documentation (work in progress): https://huggingface.co/pytorch-transformers/

submitted by /u/Thomjazz
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.