src/modeling/dummy_modeling_xlnet.py [1148:1168]:
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        self.init_weights()

    @add_start_docstrings_to_callable(XLNET_INPUTS_DOCSTRING.format("(batch_size, sequence_length)"))
    @add_code_sample_docstrings(tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="xlnet-base-cased")
    def forward(
        self,
        input_ids=None,
        attention_mask=None,
        mems=None,
        perm_mask=None,
        target_mapping=None,
        token_type_ids=None,
        input_mask=None,
        head_mask=None,
        inputs_embeds=None,
        use_cache=True,
        labels=None,
        output_attentions=None,
        output_hidden_states=None,
    ):
        r"""
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src/modeling/dummy_modeling_xlnet.py [1244:1264]:
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        self.init_weights()

    @add_start_docstrings_to_callable(XLNET_INPUTS_DOCSTRING.format("(batch_size, sequence_length)"))
    @add_code_sample_docstrings(tokenizer_class=_TOKENIZER_FOR_DOC, checkpoint="xlnet-base-cased")
    def forward(
        self,
        input_ids=None,
        attention_mask=None,
        mems=None,
        perm_mask=None,
        target_mapping=None,
        token_type_ids=None,
        input_mask=None,
        head_mask=None,
        inputs_embeds=None,
        use_cache=True,
        labels=None,
        output_attentions=None,
        output_hidden_states=None,
    ):
        r"""
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