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# 모델
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.
[`PreTrainedModel`]과 [`TFPreTrainedModel`]은 또한 모든 모델들을 공통적으로 지원하는 메소드 여러개를 구현하였습니다:
- 새 토큰이 단어장에 추가될 때, 입력 토큰 임베딩의 크기를 조정합니다.
- 모델의 어텐션 헤드를 가지치기합니다.
각 모델에 공통인 다른 메소드들은 다음의 클래스에서 정의됩니다.
- [`~modeling_utils.ModuleUtilsMixin`](파이토치 모델용)
- 텍스트 생성을 위한 [`~modeling_tf_utils.TFModuleUtilsMixin`](텐서플로 모델용)
- [`~generation.GenerationMixin`](파이토치 모델용)
- [`~generation.FlaxGenerationMixin`](Flax/JAX 모델용)
## PreTrainedModel
[[autodoc]] PreTrainedModel
- push_to_hub
- all
사용자 정의 모델은 초고속 초기화(superfast init)가 특정 모델에 적용될 수 있는지 여부를 결정하는 `_supports_assign_param_buffer`도 포함해야 합니다.
`test_save_and_load_from_pretrained` 실패 시, 모델이 `_supports_assign_param_buffer`를 필요로 하는지 확인하세요.
필요로 한다면 `False`로 설정하세요.
## ModuleUtilsMixin
[[autodoc]] modeling_utils.ModuleUtilsMixin
## 허브에 저장하기
[[autodoc]] utils.PushToHubMixin