Text Embedding Models & Inference
34 repos
Dense vector embedding models for semantic search and retrieval, primarily built on sentence-transformers and PyTorch. These repositories include multilingual embedding models (BGE variants in Chinese and multilingual configurations), lightweight specialized embeddings (like EmbeddingGemma), and inference infrastructure compatible with text-embeddings-inference endpoints. The cluster represents both model implementations and the serving/optimization layer needed to deploy embeddings at scale.
Go · 1
sentence-transformers ·7,021
endpoints_compatible ·6,219
text-embeddings-inference ·6,098
pytorch ·5,724
xlm-roberta ·4,857
feature-extraction ·4,838
sentence-similarity ·4,493
onnx ·3,593
eval-results ·3,491
safetensors ·2,651
