Deploy SentenceTransformers embedding models to a ray cluster
Project description
ray-embedding
A Python library for deploying SentenceTransformers models to a ray cluster. This tool encapsulates inference logic that uses SentenceTransformers to load any compatible embedding model from the Hugging Face hub and compute embeddings for input text.
This library is meant to be used with the embedding-models Ray cluster.
Refer to this Ray Serve deployment config to see how this library is used.
Supports the following backends
- pytorch-gpu
- pytorch-cpu
Planned:
- onnx-gpu
- onnx-cpu
- openvino-cpu
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