Improve mismatched sizes management when loading a pretrained model (#17257)

- Add --ignore_mismatched_sizes argument to classification examples

- Expand the error message when loading a model whose head dimensions are different from expected dimensions
This commit is contained in:
regisss
2022-05-17 17:58:14 +02:00
committed by GitHub
parent 1f13ba818e
commit 28a0811652
13 changed files with 64 additions and 9 deletions

View File

@@ -55,6 +55,8 @@ uses special features of those tokenizers. You can check if your favorite model
[this table](https://huggingface.co/transformers/index.html#supported-frameworks), if it doesn't you can still use the old version
of the script.
> If your model classification head dimensions do not fit the number of labels in the dataset, you can specify `--ignore_mismatched_sizes` to adapt it.
## Old version of the script
You can find the old version of the PyTorch script [here](https://github.com/huggingface/transformers/blob/main/examples/legacy/token-classification/run_ner.py).