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
- EvaluationCrossEncoder have their own evaluation classes in sentence_transformers.cross_encoder.evaluation.docs/package_reference/cross_encoder/evaluation.md
- index.rstdocs/package_reference/cross_encoder/index.rst
- Lossessentence_transformers.cross_encoder.losses defines different loss functions that can be used to fine-tune cross-encoder models on training data. The choice of loss function plays a critical role when…docs/package_reference/cross_encoder/losses.md
- CrossEncoderFor an introduction to Cross-Encoders, see Cross-Encoders.docs/package_reference/cross_encoder/model.md
- Modulessentence_transformers.cross_encoder.modules defines building blocks that can be used to create CrossEncoder networks from scratch. For more details, see Creating Custom CrossEncoder Models.docs/package_reference/cross_encoder/modules.md
- Trainerdocs/package_reference/cross_encoder/trainer.md
- Training Argumentsdocs/package_reference/cross_encoder/training_args.md