Buckets:
| # General Utilities | |
| This page lists all of Transformers general utility functions that are found in the file `utils.py`. | |
| Most of those are only useful if you are studying the general code in the library. | |
| ## Enums and namedtuples[[transformers.utils.ExplicitEnum]] | |
| #### transformers.utils.ExplicitEnum[[transformers.utils.ExplicitEnum]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/generic.py#L400) | |
| Enum with more explicit error message for missing values. | |
| #### transformers.utils.PaddingStrategy[[transformers.utils.PaddingStrategy]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/generic.py#L412) | |
| Possible values for the `padding` argument in [PreTrainedTokenizerBase.__call__()](/docs/transformers/pr_37082/en/internal/tokenization_utils#transformers.PreTrainedTokenizerBase.__call__). Useful for tab-completion in an | |
| IDE. | |
| #### transformers.TensorType[[transformers.TensorType]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/generic.py#L423) | |
| Possible values for the `return_tensors` argument in [PreTrainedTokenizerBase.__call__()](/docs/transformers/pr_37082/en/internal/tokenization_utils#transformers.PreTrainedTokenizerBase.__call__). Useful for | |
| tab-completion in an IDE. | |
| ## Special Decorators[[transformers.add_start_docstrings]] | |
| #### transformers.add_start_docstrings[[transformers.add_start_docstrings]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/doc.py#L37) | |
| #### transformers.utils.add_start_docstrings_to_model_forward[[transformers.utils.add_start_docstrings_to_model_forward]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/doc.py#L45) | |
| #### transformers.add_end_docstrings[[transformers.add_end_docstrings]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/doc.py#L81) | |
| #### transformers.utils.add_code_sample_docstrings[[transformers.utils.add_code_sample_docstrings]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/doc.py#L1006) | |
| #### transformers.utils.replace_return_docstrings[[transformers.utils.replace_return_docstrings]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/doc.py#L1100) | |
| ## Other Utilities[[transformers.utils._LazyModule]] | |
| #### transformers.utils._LazyModule[[transformers.utils._LazyModule]] | |
| [Source](https://github.com/huggingface/transformers/blob/vr_37082/src/transformers/utils/import_utils.py#L1789) | |
| Module class that surfaces all objects but only performs associated imports when the objects are requested. | |
Xet Storage Details
- Size:
- 2.72 kB
- Xet hash:
- c5a6db267d538dfbd7dd5287e34736bea5b54b219db146437d777e763feba202
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.