The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.
94.4K Pulls 6 Tags Updated 8 months ago
Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.
155.8K Pulls 3 Tags Updated 9 months ago
Embedding model from BAAI mapping texts to vectors.
128.6K Pulls 3 Tags Updated 1 year ago
Sentence-transformers model that can be used for tasks like clustering or semantic search.
99.7K Pulls 3 Tags Updated 1 year ago
BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.
2M Pulls 3 Tags Updated 1 year ago
A suite of text embedding models by Snowflake, optimized for performance.
863.7K Pulls 16 Tags Updated 1 year ago
State-of-the-art large embedding model from mixedbread.ai
4.8M Pulls 4 Tags Updated 1 year ago
Embedding models on very large sentence level datasets.
1.3M Pulls 10 Tags Updated 1 year ago
A high-performing open embedding model with a large token context window.
38.2M Pulls 3 Tags Updated 1 year ago