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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ray_embedding-0.12.12.tar.gz.
File metadata
- Download URL: ray_embedding-0.12.12.tar.gz
- Upload date:
- Size: 8.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
341429810616e22240408cc8887a3af51137aeca50bcf77714f43f150cb46237
|
|
| MD5 |
10fe55fdfe466576c5031ada5967252a
|
|
| BLAKE2b-256 |
942541cd687a925d0a722211ca0acf0b950698b11abac95ab0e6709b03990961
|
File details
Details for the file ray_embedding-0.12.12-py3-none-any.whl.
File metadata
- Download URL: ray_embedding-0.12.12-py3-none-any.whl
- Upload date:
- Size: 9.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
97245673a5b1d71988eb5d78aee19340d3677fc50ee40d267fa6727bfac4c69b
|
|
| MD5 |
898170ca617cc97ff67ccf445a9a9d45
|
|
| BLAKE2b-256 |
e5ba991d3934c25a9594542e36d56e0f8d06f7e0f62e6edf2caf30d8555f7188
|
