huggingface/sentence-transformers
State-of-the-Art Embeddings, Retrieval, and Reranking
https://skillcdn.ai/gh/huggingface/sentence-transformers내 AI에 이 주소를 연결하면 이 스킬들을 쓸 수 있어요. 연결 방법 보기
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main - 커밋
4a3b5cd - 라이선스
Apache-2.0
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스킬과 문서의 원문에서 찾습니다. 화면용 번역은 검색되지 않아요.
문서
- Datasetssentence_transformers.sentence_transformer.datasets contains classes to organize your training input examples.docs/package_reference/sentence_transformer/datasets.md
- Evaluationsentence_transformers.sentence_transformer.evaluation defines different classes, that can be used to evaluate the model during training.docs/package_reference/sentence_transformer/evaluation.md
- index.rstdocs/package_reference/sentence_transformer/index.rst
- Lossessentence_transformers.sentence_transformer.losses defines different loss functions that can be used to fine-tune embedding models on training data. The choice of loss function plays a critical role w…docs/package_reference/sentence_transformer/losses.md
- SentenceTransformerdocs/package_reference/sentence_transformer/model.md
- Modulessentence_transformers.sentence_transformer.modules defines different building blocks, a.k.a. Modules, that can be used to create SentenceTransformer models from scratch. For more details, see Creatin…docs/package_reference/sentence_transformer/modules.md
- Trainerdocs/package_reference/sentence_transformer/trainer.md
- Training Argumentsdocs/package_reference/sentence_transformer/training_args.md