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Split checkpoint from model_name_or_path in examples (#11492)

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* Split checkpoint from model_name_or_path in examples

* Address review comments

* Address review comments
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Sylvain Gugger
2021-04-29 18:33:47 -04:00
committed by GitHub
parent d6ec54ba36
commit b29eb247d3
13 changed files with 62 additions and 69 deletions
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examples/pytorch/README.md
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@@ -65,7 +65,7 @@ examples/pytorch/token-classification/run_ner.py -h
You can resume training from a previous checkpoint like this:
1. Pass `--output_dir previous_output_dir` without `--overwrite_output_dir` to resume training from the latest checkpoint in `output_dir` (what you would use if the training was interrupted, for instance).
2. Pass `--model_name_or_path path_to_a_specific_checkpoint` to resume training from that checkpoint folder.
2. Pass `--resume_from_checkpoint path_to_a_specific_checkpoint` to resume training from that checkpoint folder.
Should you want to turn an example into a notebook where you'd no longer have access to the command
line, 🤗 Trainer supports resuming from a checkpoint via `trainer.train(resume_from_checkpoint)`.