Fixed incorrect links in the PretrainedModel
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@@ -43,8 +43,8 @@ Here is the full list of the currently provided pretrained models together with
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| | | (see `details <https://github.com/google-research/bert/#bert>`__) |
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| | | (see `details <https://github.com/google-research/bert/#bert>`__) |
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| | ``bert-large-uncased-whole-word-masking-finetuned-squad`` | 24-layer, 1024-hidden, 16-heads, 340M parameters |
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| | ``bert-large-uncased-whole-word-masking-finetuned-squad`` | 24-layer, 1024-hidden, 16-heads, 340M parameters |
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| | | The ``bert-large-uncased-whole-word-masking`` model fine-tuned on SQuAD |
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| | | The ``bert-large-uncased-whole-word-masking`` model fine-tuned on SQuAD (see details of fine-tuning in the |
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| | | (see details of fine-tuning in the `example section`__) |
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| | | `example section <https://github.com/huggingface/pytorch-transformers/tree/master/examples>`__) |
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| | ``bert-large-cased-whole-word-masking-finetuned-squad`` | 24-layer, 1024-hidden, 16-heads, 340M parameters |
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| | ``bert-large-cased-whole-word-masking-finetuned-squad`` | 24-layer, 1024-hidden, 16-heads, 340M parameters |
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| | | The ``bert-large-cased-whole-word-masking`` model fine-tuned on SQuAD |
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| | | The ``bert-large-cased-whole-word-masking`` model fine-tuned on SQuAD |
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