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.
( value names = None module = None qualname = None type = None start = 1 )
Enum with more explicit error message for missing values.
( 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.
( 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.
( *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 = '' expected_loss = '' )
( 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.
( name module_file import_structure module_spec = None extra_objects = None )
Module class that surfaces all objects but only performs associated imports when the objects are requested.