fix #808
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@@ -424,6 +424,10 @@ XLM_INPUTS_DOCSTRING = r"""
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Inputs:
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**input_ids**: ``torch.LongTensor`` of shape ``(batch_size, sequence_length)``:
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Indices of input sequence tokens in the vocabulary.
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XLM is a model with absolute position embeddings so it's usually advised to pad the inputs on
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the right rather than the left.
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Indices can be obtained using :class:`pytorch_transformers.XLMTokenizer`.
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See :func:`pytorch_transformers.PreTrainedTokenizer.encode` and
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:func:`pytorch_transformers.PreTrainedTokenizer.convert_tokens_to_ids` for details.
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