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* Fixed empty asserts * black-reformatted stragglers in templates * More code quality checks * Update src/transformers/convert_marian_to_pytorch.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/convert_marian_to_pytorch.py Co-authored-by: Sam Shleifer <sshleifer@gmail.com> * removed unused line as per @sshleifer Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sam Shleifer <sshleifer@gmail.com> |
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How to add a new example script in 🤗Transformers
This folder provide a template for adding a new example script implementing a training or inference task with the models in the 🤗Transformers library. Add tests!
These folder can be put in a subdirectory under your example's name, like examples/deebert.
Best Practices:
- use
Trainer/TFTrainer - write an @slow test that checks that your model can train on one batch and get a low loss.
- this test should use cuda if it's available. (e.g. by checking
transformers.torch_device)
- this test should use cuda if it's available. (e.g. by checking
- adding an
eval_xxx.pyscript that can evaluate a pretrained checkpoint. - tweet about your new example with a carbon screenshot of how to run it and tag @huggingface