Embedding: BAAI/bge-large-en-v1.5
These docs are for the new Anyscale design. If you started using Anyscale before April 2024, use Version 1.0.0 of the docs. If you're transitioning to Anyscale Preview, see the guide for how to migrate.
Effective August 1, 2024 Anyscale Endpoints API will be available exclusively through the fully Hosted Anyscale Platform. Multi-tenant access to LLM models will be removed.
With the Hosted Anyscale Platform, you can access the latest GPUs billed by the second, and deploy models on your own dedicated instances. Enjoy full customization to build your end-to-end applications with Anyscale. Get started today.
See the Hugging Face model page for more model details.
See Generate an embedding for how to use the embedding model with Anyscale Endpoints.
About this modelā
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
InputĀ Models: input text only.
OutputĀ Models: embedding of the text only.
Maximum Input Length: 512
License: MIT