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Version: 0.0.0

Embedding: BAAI/bge-large-en-v1.5

info

See the Hugging Face model page for more model details.

See Query a model for how to use the embedding model with Anyscale Endpoints.

About this model

Model name to use in API calls:

BAAI/bge-large-en-v1.5

FlagEmbedding can map any text to a low-dimensional dense vector, which is useful for tasks like retrieval, classification, clustering, or semantic search. And it's also useful for vector databases for LLMs.

Model Developers: BAAI

Input Models: input text only.

Output Models: embedding of the text only.

Maximum Input Length: 512

License: MIT