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Specify PyTorch versions for examples (#4710)

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Lysandre Debut 2020-06-02 04:29:28 -04:00 committed by GitHub
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README.md
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@ -63,7 +63,7 @@ Choose the right framework for every part of a model's lifetime
## Installation
This repo is tested on Python 3.6+, PyTorch 1.0.0+ and TensorFlow 2.0.
This repo is tested on Python 3.6+, PyTorch 1.0.0+ (PyTorch 1.3.1+ for examples) and TensorFlow 2.0.
You should install 🤗 Transformers in a [virtual environment](https://docs.python.org/3/library/venv.html). If you're unfamiliar with Python virtual environments, check out the [user guide](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/).

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examples/README.md
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## Examples
Version 2.9 of `transformers` introduces a new [`Trainer`](https://github.com/huggingface/transformers/blob/master/src/transformers/trainer.py) class for PyTorch, and its equivalent [`TFTrainer`](https://github.com/huggingface/transformers/blob/master/src/transformers/trainer_tf.py) for TF 2.
Running the examples requires PyTorch 1.3.1+ or TensorFlow 2.0+.
Here is the list of all our examples:
- **grouped by task** (all official examples work for multiple models)