06f1fd69a6
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2.4 KiB
2.4 KiB
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_buffer도 포함해야 합니다.
test_save_and_load_from_pretrained 실패 시, 모델이 _supports_assign_param_buffer를 필요로 하는지 확인하세요.
필요로 한다면 False로 설정하세요.
ModuleUtilsMixin
autodoc modeling_utils.ModuleUtilsMixin
허브에 저장하기
autodoc utils.PushToHubMixin