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27 lines
1008 B
ReStructuredText
27 lines
1008 B
ReStructuredText
Transformer XL
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----------------------------------------------------
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``TransfoXLTokenizer``
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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``TransfoXLTokenizer`` perform word tokenization. This tokenizer can be used for adaptive softmax and has utilities for counting tokens in a corpus to create a vocabulary ordered by toekn frequency (for adaptive softmax). See the adaptive softmax paper (\ `Efficient softmax approximation for GPUs <http://arxiv.org/abs/1609.04309>`_\ ) for more details.
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The API is similar to the API of ``BertTokenizer`` (see above).
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Please refer to the doc strings and code in `\ ``tokenization_transfo_xl.py`` <./pytorch_pretrained_bert/tokenization_transfo_xl.py>`_ for the details of these additional methods in ``TransfoXLTokenizer``.
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12. ``TransfoXLModel``
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: pytorch_pretrained_bert.TransfoXLModel
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:members:
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13. ``TransfoXLLMHeadModel``
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: pytorch_pretrained_bert.TransfoXLLMHeadModel
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:members:
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