![]() This repo is tested on Python 2.7 and 3.5+ (examples are tested only on python 3.5+), PyTorch 1.0.0+ and TensorFlow 2.0.0-rc1 With pipįirst you need to install one of, or both, TensorFlow 2.0 and PyTorch. Migrating your code from pytorch-pretrained-bert to transformers Migrating from pytorch-pretrained-bert to pytorch-transformers Migrating your code from pytorch-transformers to transformers Migrating from pytorch-transformers to transformers Using provided scripts: GLUE, SQuAD and Text generation Train a TF 2.0 model in 10 lines of code, load it in PyTorch Tokenizers & models usage: Bert and GPT-2 Seamlessly pick the right framework for training, evaluation, productionĮxperimenting with this repo’s text generation capabilities.Move a single model between TF2.0/PyTorch frameworks at will.Deep interoperability between TensorFlow 2.0 and PyTorch models.Train state-of-the-art models in 3 lines of code. ![]() 8 architectures with over 30 pretrained models, some in more than 100 languagesĬhoose the right framework for every part of a model's lifetime.Practitioners can reduce compute time and production costs. ![]()
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