o ߥi\@sddlmZmZddlmZddlmZmZddlm Z ddl m Z e Z eje jejdeje jejdeje jejdGdddeZd S) )HeadsModels)MODELS)ModelForTokenClassification"ModelForTokenClassificationWithCRF)logger)Tasks) module_namec@seZdZdZdZdS)BertForTokenClassificationaBert Model with a token classification head on top (a linear layer on top of the hidden-states output) e.g. for Named-Entity-Recognition (NER) tasks, word-segmentation. This model inherits from :class:`TokenClassificationModel`. Check the superclass documentation for the generic methods the library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads etc.) This model is also a PyTorch `torch.nn.Module `__ subclass. Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage and behavior. bertN)__name__ __module__ __qualname____doc__base_model_typerrc/home/ubuntu/.local/lib/python3.10/site-packages/modelscope/models/nlp/bert/token_classification.pyr s r N)modelscope.metainforrmodelscope.models.builderr6modelscope.models.nlp.task_models.token_classificationrrmodelscope.utilsrloggingmodelscope.utils.constantr get_loggerregister_moduletoken_classificationr part_of_speechword_segmentationr rrrrs