# coding=utf-8
# Copyright 2019 Facebook AI Research and the HuggingFace Inc. team.
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# http://www.apache.org/licenses/LICENSE-2.0
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"""PyTorch XLM-RoBERTa model. """
import logging
from .configuration_xlm_roberta import XLMRobertaConfig
from .file_utils import add_start_docstrings
from .modeling_roberta import (
RobertaForMaskedLM,
RobertaForMultipleChoice,
RobertaForSequenceClassification,
RobertaForTokenClassification,
RobertaModel,
)
logger = logging.getLogger(__name__)
XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_MAP = {
"xlm-roberta-base": "https://cdn.huggingface.co/xlm-roberta-base-pytorch_model.bin",
"xlm-roberta-large": "https://cdn.huggingface.co/xlm-roberta-large-pytorch_model.bin",
"xlm-roberta-large-finetuned-conll02-dutch": "https://cdn.huggingface.co/xlm-roberta-large-finetuned-conll02-dutch-pytorch_model.bin",
"xlm-roberta-large-finetuned-conll02-spanish": "https://cdn.huggingface.co/xlm-roberta-large-finetuned-conll02-spanish-pytorch_model.bin",
"xlm-roberta-large-finetuned-conll03-english": "https://cdn.huggingface.co/xlm-roberta-large-finetuned-conll03-english-pytorch_model.bin",
"xlm-roberta-large-finetuned-conll03-german": "https://cdn.huggingface.co/xlm-roberta-large-finetuned-conll03-german-pytorch_model.bin",
}
XLM_ROBERTA_START_DOCSTRING = r"""
This model is a PyTorch `torch.nn.Module <https://pytorch.org/docs/stable/nn.html#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.XLMRobertaConfig`): 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.
"""
[docs]@add_start_docstrings(
"The bare XLM-RoBERTa Model transformer outputting raw hidden-states without any specific head on top.",
XLM_ROBERTA_START_DOCSTRING,
)
class XLMRobertaModel(RobertaModel):
"""
This class overrides :class:`~transformers.RobertaModel`. Please check the
superclass for the appropriate documentation alongside usage examples.
"""
config_class = XLMRobertaConfig
pretrained_model_archive_map = XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_MAP
[docs]@add_start_docstrings(
"""XLM-RoBERTa Model transformer with a sequence classification/regression head on top (a linear layer
on top of the pooled output) e.g. for GLUE tasks. """,
XLM_ROBERTA_START_DOCSTRING,
)
class XLMRobertaForSequenceClassification(RobertaForSequenceClassification):
"""
This class overrides :class:`~transformers.RobertaForSequenceClassification`. Please check the
superclass for the appropriate documentation alongside usage examples.
"""
config_class = XLMRobertaConfig
pretrained_model_archive_map = XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_MAP
[docs]@add_start_docstrings(
"""XLM-RoBERTa 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. """,
XLM_ROBERTA_START_DOCSTRING,
)
class XLMRobertaForTokenClassification(RobertaForTokenClassification):
"""
This class overrides :class:`~transformers.RobertaForTokenClassification`. Please check the
superclass for the appropriate documentation alongside usage examples.
"""
config_class = XLMRobertaConfig
pretrained_model_archive_map = XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_MAP