Transformers documentation
通用工具
通用工具
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。
Enums和namedtuples(命名元组)
class transformers.utils.ExplicitEnum
< source >( valuenames = Nonemodule = Nonequalname = Nonetype = Nonestart = 1 )
Enum with more explicit error message for missing values.
class transformers.utils.PaddingStrategy
< source >( valuenames = Nonemodule = Nonequalname = Nonetype = Nonestart = 1 )
Possible values for the padding argument in PreTrainedTokenizerBase.call(). Useful for tab-completion in an
IDE.
class transformers.TensorType
< source >( valuenames = Nonemodule = Nonequalname = Nonetype = Nonestart = 1 )
Possible values for the return_tensors argument in PreTrainedTokenizerBase.call(). Useful for
tab-completion in an IDE.
特殊的装饰函数
transformers.utils.add_code_sample_docstrings
< source >( *docstrprocessor_class = Nonecheckpoint = Noneoutput_type = Noneconfig_class = Nonemask = '[MASK]'qa_target_start_index = 14qa_target_end_index = 15model_cls = Nonemodality = Noneexpected_output = Noneexpected_loss = Nonereal_checkpoint = Nonerevision = None )
其他实用程序
class transformers.utils._LazyModule
< source >( name: strmodule_file: strimport_structure: dictmodule_spec: _frozen_importlib.ModuleSpec | None = Noneextra_objects: dict[str, object] | None = Noneexplicit_import_shortcut: dict[str, list[str]] | None = None )
Module class that surfaces all objects but only performs associated imports when the objects are requested.