Deploy SentenceTransformers embedding models to a ray cluster
Project description
Project details
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-0.9.10.tar.gz
(4.0 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-0.9.10.tar.gz.
File metadata
- Download URL: ray_embedding-0.9.10.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
77cfb25621eb6fa0728ad2c1f90ce59d0e0da4db45f4c82e8363a25ef2ff0e02
|
|
| MD5 |
b2080a715dc8f8526b8ebf36a77c166e
|
|
| BLAKE2b-256 |
e0d09ae66f7c5e17177dcacd894344ed1446aa443232a3f960c6a19187d34b2f
|
File details
Details for the file ray_embedding-0.9.10-py3-none-any.whl.
File metadata
- Download URL: ray_embedding-0.9.10-py3-none-any.whl
- Upload date:
- Size: 4.7 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 |
3281e120f2a988a790adb8a60a87fbb69a9fd33ff40361192310970574878c20
|
|
| MD5 |
4d936b2260e065489333cd7d05efb340
|
|
| BLAKE2b-256 |
bf6224cb6bc9e81ec0a738234222d613fc744cba362a4de4d84415fb3ee70210
|