Dense and Sparse Text Embeddings
2 repos
Libraries and models for generating semantic text embeddings using both dense (neural) and sparse (lexical) retrieval methods. The cluster centers on sentence-transformers and related approaches for encoding text into fixed-dimensional representations, with significant emphasis on SPLADE (Sparse Lexical and Dense Embeddings) variants that combine sparse keyword-based and dense semantic matching. These embeddings power semantic search, retrieval-augmented generation, and recommendation systems, with tooling for model deployment via endpoints-compatible interfaces and efficient inference.
bert ·13
endpoints_compatible ·13
feature-extraction ·13
pytorch ·13
text-embeddings-inference ·13
transformers ·13
Chinese Spell Checking ·8
Chinese Spell Correction ·8
custom_code ·8
zh ·8
