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by Thom_Wolf on 2019-09-26 (UTC).

🤗Transformers 2.0💥

State-of-the-art NLP in TensorFlow 2.0/PyTorch
8 architectures
33 trained models
102 lang.

Seamlessly pick the right framework for training, eval, deploy
Train on TPU ⏩ finetune/test in PyTorch ⏩ serve w. TFX

🍒Keras magic: train SOTA model in 10 lines👇 pic.twitter.com/K7BNdxDBQh

— Thomas Wolf (@Thom_Wolf) September 26, 2019
toolpytorchtensorflownlp
by Thom_Wolf on 2019-09-26 (UTC).

Install TensorFlow 2.0 and/or PyTorch, and just

*pip install transformers*

with @LysandreJik @julien_c @SanhEstPasMoi @ClementDelangue and all the @huggingface team

h/t: @fchollet @random_forests

Repo: https://t.co/iNdvPcRFPa
Release notes: https://t.co/lPJAV5cIJx

— Thomas Wolf (@Thom_Wolf) September 26, 2019
toolnlp
by fchollet on 2019-09-26 (UTC).

HuggingFace has ported their very popular Transformer library to TensorFlow 2.0 / Keras.

33 state-of-the-art pretrained NLP models (8 architectures) for 102 languages.

The TF 2.0 conversion unlocks TPU support, TF.js export, TFX serving, and more.https://t.co/wpqouBJ8Lw pic.twitter.com/tXqL0pJEim

— François Chollet (@fchollet) September 26, 2019
nlptool

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