translation main-class files to chinese (#27588)
* translate work * update * update * update [[autodoc]] * Update callback.md --------- Co-authored-by: jiaqiw <wangjiaqi50@huawei.com>
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<!--Copyright 2022 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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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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# Generation
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每个框架都在它们各自的 `GenerationMixin` 类中实现了文本生成的 `generate` 方法:
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- PyTorch [`~generation.GenerationMixin.generate`] 在 [`~generation.GenerationMixin`] 中实现。
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- TensorFlow [`~generation.TFGenerationMixin.generate`] 在 [`~generation.TFGenerationMixin`] 中实现。
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- Flax/JAX [`~generation.FlaxGenerationMixin.generate`] 在 [`~generation.FlaxGenerationMixin`] 中实现。
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无论您选择哪个框架,都可以使用 [`~generation.GenerationConfig`] 类实例对 generate 方法进行参数化。有关生成方法的控制参数的完整列表,请参阅此类。
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要了解如何检查模型的生成配置、默认值是什么、如何临时更改参数以及如何创建和保存自定义生成配置,请参阅 [文本生成策略指南](../generation_strategies)。该指南还解释了如何使用相关功能,如token流。
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## GenerationConfig
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[[autodoc]] generation.GenerationConfig
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- from_pretrained
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- from_model_config
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- save_pretrained
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## GenerationMixin
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[[autodoc]] generation.GenerationMixin
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- generate
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- compute_transition_scores
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- greedy_search
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- sample
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- beam_search
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- beam_sample
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- contrastive_search
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- group_beam_search
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- constrained_beam_search
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## TFGenerationMixin
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[[autodoc]] generation.TFGenerationMixin
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- generate
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- compute_transition_scores
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## FlaxGenerationMixin
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[[autodoc]] generation.FlaxGenerationMixin
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- generate
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