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49 lines
2.4 KiB
Markdown
49 lines
2.4 KiB
Markdown
<!--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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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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specific language governing permissions and limitations under the License.
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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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# 모델
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기본 클래스 [`PreTrainedModel`], [`TFPreTrainedModel`], [`FlaxPreTrainedModel`]는 로컬 파일과 디렉토리로부터 모델을 로드하고 저장하거나 또는 (허깅페이스 AWS S3 리포지토리로부터 다운로드된) 라이브러리에서 제공하는 사전 훈련된 모델 설정을 로드하고 저장하는 것을 지원하는 기본 메소드를 구현하였습니다.
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[`PreTrainedModel`]과 [`TFPreTrainedModel`]은 또한 모든 모델들을 공통적으로 지원하는 메소드 여러개를 구현하였습니다:
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- 새 토큰이 단어장에 추가될 때, 입력 토큰 임베딩의 크기를 조정합니다.
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- 모델의 어텐션 헤드를 가지치기합니다.
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각 모델에 공통인 다른 메소드들은 다음의 클래스에서 정의됩니다.
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- [`~modeling_utils.ModuleUtilsMixin`](파이토치 모델용)
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- 텍스트 생성을 위한 [`~modeling_tf_utils.TFModuleUtilsMixin`](텐서플로 모델용)
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- [`~generation.GenerationMixin`](파이토치 모델용)
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- [`~generation.FlaxGenerationMixin`](Flax/JAX 모델용)
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## PreTrainedModel
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[[autodoc]] PreTrainedModel
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- push_to_hub
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- all
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사용자 정의 모델은 초고속 초기화(superfast init)가 특정 모델에 적용될 수 있는지 여부를 결정하는 `_supports_assign_param_buffer`도 포함해야 합니다.
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`test_save_and_load_from_pretrained` 실패 시, 모델이 `_supports_assign_param_buffer`를 필요로 하는지 확인하세요.
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필요로 한다면 `False`로 설정하세요.
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## ModuleUtilsMixin
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[[autodoc]] modeling_utils.ModuleUtilsMixin
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## 허브에 저장하기
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[[autodoc]] utils.PushToHubMixin
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