#
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

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class transformers.utils.ExplicitEnum

< source >

( value names = None module = None qualname = None type = None start = 1 )

Enum with more explicit error message for missing values.

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class transformers.utils.PaddingStrategy

< source >

( value names = None module = None qualname = None type = None start = 1 )

Possible values for the `padding` argument in PreTrainedTokenizerBase.call(). Useful for tab-completion in an IDE.

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class transformers.TensorType

< source >

( value names = None module = None qualname = None type = None start = 1 )

Possible values for the `return_tensors` argument in PreTrainedTokenizerBase.call(). Useful for tab-completion in an IDE.

##
Special Decorators

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transformers.add_start_docstrings

< source >

( *docstr )

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transformers.utils.add_start_docstrings_to_model_forward

< source >

( *docstr )

####
transformers.add_end_docstrings

< source >

( *docstr )

####
transformers.utils.add_code_sample_docstrings

< source >

( *docstr processor_class = None checkpoint = None output_type = None config_class = None mask = '[MASK]' qa_target_start_index = 14 qa_target_end_index = 15 model_cls = None modality = None expected_output = None expected_loss = None real_checkpoint = None revision = None )

####
transformers.utils.replace_return_docstrings

< source >

( output_type = None config_class = None )

##
Special Properties

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class transformers.utils.cached_property

< source >

( fget = None fset = None fdel = None doc = None )

Descriptor that mimics @property but caches output in member variable.

From tensorflow_datasets

Built-in in functools from Python 3.8.

##
Other Utilities

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class transformers.utils._LazyModule

< source >

( name: str module_file: str import_structure: Dict module_spec: ModuleSpec = None extra_objects: Dict = None )

Module class that surfaces all objects but only performs associated imports when the objects are requested.

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