mt5.rst

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MT5
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Overview
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The mT5 model was presented in `mT5: A massively multilingual pre-trained text-to-text transformer
<https://arxiv.org/abs/2010.11934>`_ by Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya
Siddhant, Aditya Barua, Colin Raffel.

The abstract from the paper is the following:

*The recent "Text-to-Text Transfer Transformer" (T5) leveraged a unified text-to-text format and scale to attain
state-of-the-art results on a wide variety of English-language NLP tasks. In this paper, we introduce mT5, a
multilingual variant of T5 that was pre-trained on a new Common Crawl-based dataset covering 101 languages. We describe
the design and modified training of mT5 and demonstrate its state-of-the-art performance on many multilingual
benchmarks. All of the code and model checkpoints*

The original code can be found `here <https://github.com/google-research/multilingual-t5>`__.

MT5Config
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.. autoclass:: transformers.MT5Config
    :members:


MT5Model
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.. autoclass:: transformers.MT5Model
    :members:


MT5ForConditionalGeneration
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.. autoclass:: transformers.MT5ForConditionalGeneration
    :members:


MT5EncoderModel
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.. autoclass:: transformers.MT5EncoderModel
    :members:


TFMT5Model
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.. autoclass:: transformers.TFMT5Model
    :members:


TFMT5ForConditionalGeneration
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.. autoclass:: transformers.TFMT5ForConditionalGeneration
    :members:


TFMT5EncoderModel
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.. autoclass:: transformers.TFMT5EncoderModel
    :members: