huggingface/sentence-transformers
State-of-the-Art Embeddings, Retrieval, and Reranking
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Apache-2.0
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Documents
- 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