[docs] fix xref to PreTrainedModel.generate (#11049)
* fix xref to generate * do the same for search methods * style * style
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Copyright 2020 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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@@ -505,8 +505,8 @@ This outputs a (hopefully) coherent next token following the original sequence,
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>>> print(resulting_string)
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Hugging Face is based in DUMBO, New York City, and has
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In the next section, we show how :func:`~transformers.PreTrainedModel.generate` can be used to generate multiple tokens
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up to a specified length instead of one token at a time.
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In the next section, we show how :func:`~transformers.generation_utils.GenerationMixin.generate` can be used to
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generate multiple tokens up to a specified length instead of one token at a time.
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Text Generation
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@@ -629,7 +629,7 @@ It leverages a fine-tuned model on CoNLL-2003, fine-tuned by `@stefan-it <https:
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>>> ner_pipe = pipeline("ner")
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>>> sequence = """Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO,
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>>> sequence = """Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO,
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... therefore very close to the Manhattan Bridge which is visible from the window."""
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