U &ºcŠã@sþdZddlZddlmZddlmZddlmZmZm Z m Z m Z m Z e  e¡Zddd d œZd Zed eƒGd d„de ƒƒZedeƒGdd„deƒƒZedeƒGdd„de ƒƒZedeƒGdd„deƒƒZedeƒGdd„de ƒƒZedeƒGdd„de ƒƒZdS)zPyTorch CamemBERT model. éNé)ÚCamembertConfig)Úadd_start_docstrings)ÚRobertaForMaskedLMÚRobertaForMultipleChoiceÚRobertaForQuestionAnsweringÚ RobertaForSequenceClassificationÚRobertaForTokenClassificationÚ RobertaModelz;https://cdn.huggingface.co/camembert-base-pytorch_model.binzThttps://cdn.huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/pytorch_model.binzThttps://cdn.huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/pytorch_model.bin)zcamembert-basezumberto-commoncrawl-cased-v1zumberto-wikipedia-uncased-v1a This model is a PyTorch `torch.nn.Module `_ sub-class. Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage and behavior. Parameters: config (:class:`~transformers.CamembertConfig`): Model configuration class with all the parameters of the model. Initializing with a config file does not load the weights associated with the model, only the configuration. Check out the :meth:`~transformers.PreTrainedModel.from_pretrained` method to load the model weights. zcThe bare CamemBERT Model transformer outputting raw hidden-states without any specific head on top.c@seZdZdZeZeZdS)ÚCamembertModelzŸ This class overrides :class:`~transformers.RobertaModel`. Please check the superclass for the appropriate documentation alongside usage examples. N©Ú__name__Ú __module__Ú __qualname__Ú__doc__rZ config_classÚ&CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_MAPZpretrained_model_archive_map©rrúC/tmp/pip-unpacked-wheel-ymerj3tt/transformers/modeling_camembert.pyr 6sr z8CamemBERT Model with a `language modeling` head on top. c@seZdZdZeZeZdS)ÚCamembertForMaskedLMz¥ This class overrides :class:`~transformers.RobertaForMaskedLM`. Please check the superclass for the appropriate documentation alongside usage examples. Nr rrrrrDsrz˜CamemBERT Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output) e.g. for GLUE tasks. c@seZdZdZeZeZdS)Ú"CamembertForSequenceClassificationz³ This class overrides :class:`~transformers.RobertaForSequenceClassification`. Please check the superclass for the appropriate documentation alongside usage examples. Nr rrrrrQsrz¡CamemBERT Model with a multiple choice classification head on top (a linear layer on top of the pooled output and a softmax) e.g. for RocStories/SWAG tasks. c@seZdZdZeZeZdS)ÚCamembertForMultipleChoicez« This class overrides :class:`~transformers.RobertaForMultipleChoice`. Please check the superclass for the appropriate documentation alongside usage examples. Nr rrrrr`srzŸCamemBERT 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. c@seZdZdZeZeZdS)ÚCamembertForTokenClassificationz° This class overrides :class:`~transformers.RobertaForTokenClassification`. Please check the superclass for the appropriate documentation alongside usage examples. Nr rrrrrosrz×CamemBERT Model with a span classification head on top for extractive question-answering tasks like SQuAD (a linear layers on top of the hidden-states output to compute `span start logits` and `span end logits` c@seZdZdZeZeZdS)ÚCamembertForQuestionAnsweringz® This class overrides :class:`~transformers.RobertaForQuestionAnswering`. Please check the superclass for the appropriate documentation alongside usage examples. Nr rrrrr~sr)rÚloggingZconfiguration_camembertrZ file_utilsrZmodeling_robertarrrrr r Ú getLoggerr ÚloggerrZCAMEMBERT_START_DOCSTRINGr rrrrrrrrrÚsP   ýþ ÿ ý ý ý ý