torchtext/models/roberta/bundler.py [171:182]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    The XLM-RoBERTa model was proposed in `Unsupervised Cross-lingual Representation Learning
    at Scale <https://arxiv.org/abs/1911.02116>`. It is a large multi-lingual language model,
    trained on 2.5TB of filtered CommonCrawl data and based on the RoBERTa model architecture.

    Originally published by the authors of XLM-RoBERTa under MIT License
    and redistributed with the same license.
    [`License <https://github.com/pytorch/fairseq/blob/main/LICENSE>`__,
    `Source <https://github.com/pytorch/fairseq/tree/main/examples/xlmr#pre-trained-models>`__]

    Please refer to :func:`torchtext.models.RobertaModelBundle` for the usage.
    '''
)
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torchtext/models/roberta/bundler.py [201:212]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    The XLM-RoBERTa model was proposed in `Unsupervised Cross-lingual Representation Learning
    at Scale <https://arxiv.org/abs/1911.02116>`. It is a large multi-lingual language model,
    trained on 2.5TB of filtered CommonCrawl data and based on the RoBERTa model architecture.

    Originally published by the authors of XLM-RoBERTa under MIT License
    and redistributed with the same license.
    [`License <https://github.com/pytorch/fairseq/blob/main/LICENSE>`__,
    `Source <https://github.com/pytorch/fairseq/tree/main/examples/xlmr#pre-trained-models>`__]

    Please refer to :func:`torchtext.models.RobertaModelBundle` for the usage.
    '''
)
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