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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
50 lines
1.6 KiB
Plaintext
50 lines
1.6 KiB
Plaintext
<!--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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specific language governing permissions and limitations under the License.
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# Generation
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Each framework has a generate method for auto-regressive text generation implemented in their respective `GenerationMixin` class:
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- PyTorch [`~generation.GenerationMixin.generate`] is implemented in [`~generation.GenerationMixin`].
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- TensorFlow [`~generation.TFGenerationMixin.generate`] is implemented in [`~generation.TFGenerationMixin`].
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- Flax/JAX [`~generation.FlaxGenerationMixin.generate`] is implemented in [`~generation.FlaxGenerationMixin`].
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<!--- TODO: add a brief description of GenerationConfig (with examples) when it becomes usable with generate --->
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## GenerationConfig
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[[autodoc]] generation.GenerationConfig
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- from_pretrained
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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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- 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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## FlaxGenerationMixin
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[[autodoc]] generation.FlaxGenerationMixin
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- generate
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