此页面列出了在utils.py
文件中找到的所有Transformers通用实用函数。
其中大多数仅在您研究库中的通用代码时才有用。
( 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 = None expected_loss = None real_checkpoint = None revision = None )
( 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.