Deploy SentenceTransformers embedding models to a ray cluster
Project description
Ray Embedding Service
ray-embedding packages everything needed to expose SentenceTransformers models through an OpenAI-compatible API that runs on a Ray Serve cluster.
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
ray_embedding-0.17.3.tar.gz
(13.3 kB
view details)
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-0.17.3.tar.gz.
File metadata
- Download URL: ray_embedding-0.17.3.tar.gz
- Upload date:
- Size: 13.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ecaf1347c0b1e2666b29cba5a5fb3c669006815dbcb7fd1f82d227aabf6281a2
|
|
| MD5 |
f1c389802615d9981d21eaf73c797703
|
|
| BLAKE2b-256 |
f08f95680099aa7167d5ed85336fdab72ec5a9119788d49e154e41d4a16d2f33
|
File details
Details for the file ray_embedding-0.17.3-py3-none-any.whl.
File metadata
- Download URL: ray_embedding-0.17.3-py3-none-any.whl
- Upload date:
- Size: 12.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1c913c5e23f1e3914be5662979f1fb1e740fdaad3a0a05f62ebce1752815204e
|
|
| MD5 |
68f15bce7b9ef0a3596dc2abf35d125d
|
|
| BLAKE2b-256 |
56ba6735b220680b798cac23481d11215ae13d0420aa6e6d76b8295ff3e219c6
|
