Text Embedding Models and Inference
31 repos
Dense vector embeddings for semantic search and text similarity, built on transformer architectures like sentence-transformers and XLM-RoBERTa. The cluster includes highly optimized embedding models (BGE, E5 families) designed for efficient retrieval and ranking tasks, along with inference infrastructure (text-embeddings-inference) to serve them at scale. Repositories here span multilingual variants, unsupervised training approaches, and production-ready endpoints compatible with standard APIs.
Python · 2
sentence-transformers ·13,512
pytorch ·8,759
endpoints_compatible ·6,955
text-embeddings-inference ·6,836
retrieval ·5,926
information-retrieval ·5,721
benchmark ·5,719
sbert ·5,719
text-classification ·5,619
bert ·4,999
