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
- 미확인
- 기본 브랜치
main - 커밋
4a3b5cd - 라이선스
Apache-2.0
저장소 둘러보기
스킬과 문서의 원문에서 찾습니다. 화면용 번역은 검색되지 않아요.
문서
- Callbacksdocs/package_reference/sparse_encoder/callbacks.md
- Evaluationsentence_transformers.sparse_encoder.evaluation defines different classes, that can be used to evaluate the SparseEncoder model during training.docs/package_reference/sparse_encoder/evaluation.md
- index.rstdocs/package_reference/sparse_encoder/index.rst
- Lossessentence_transformers.sparse_encoder.losses defines different loss functions that can be used to fine-tune sparse embedding models on training data. The choice of loss function plays a critical role…docs/package_reference/sparse_encoder/losses.md
- SparseEncoderdocs/package_reference/sparse_encoder/model.md
- Modulessentence_transformers.sparse_encoder.modules defines different building blocks, that can be used to create SparseEncoder networks from scratch. For more details, see Training Overview.docs/package_reference/sparse_encoder/modules.md
- Search Enginessentence_transformers.sparse_encoder.search_engines defines different helpful functions to integrate with vector databases and search engines the sparse embeddings produced.docs/package_reference/sparse_encoder/search_engines.md
- Trainerdocs/package_reference/sparse_encoder/trainer.md
- Training Argumentsdocs/package_reference/sparse_encoder/training_args.md