Documentation additions
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@@ -111,5 +111,13 @@ Here is the full list of the currently provided pretrained models together with
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| | | | ``roberta-large`` fine-tuned on `MNLI <http://www.nyu.edu/projects/bowman/multinli/>`__. |
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| | | (see `details <https://github.com/pytorch/fairseq/tree/master/examples/roberta>`__) |
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+-------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
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| DistilBERT | ``distilbert-base-uncased`` | | 6-layer, 768-hidden, 12-heads, 66M parameters |
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| | | | The DistilBERT model distilled from the BERT model `bert-base-uncased` checkpoint |
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| | | (see `details <https://medium.com/@victorsanh/8cf3380435b5>`__) |
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| +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
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| | ``distilbert-base-uncased-distilled-squad`` | | 6-layer, 768-hidden, 12-heads, 66M parameters |
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| | | | The DistilBERT model distilled from the BERT model `bert-base-uncased` checkpoint, with an additional linear layer. |
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| | | (see `details <https://medium.com/@victorsanh/8cf3380435b5>`__) |
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+-------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
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.. <https://huggingface.co/pytorch-transformers/examples.html>`__
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