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-0.15.3.tar.gz
(12.3 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-0.15.3.tar.gz.
File metadata
- Download URL: ray_embedding-0.15.3.tar.gz
- Upload date:
- Size: 12.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
010f4107e1893ea99517373b2a7842e400d37498244449229507d906c15b872a
|
|
| MD5 |
552a1bbe6ad53d7c5a6c1468cf5ba7a7
|
|
| BLAKE2b-256 |
10a54c142fed3c6d40c83f638a83154ede8509f474907eed9e34dec945b02e0e
|
File details
Details for the file ray_embedding-0.15.3-py3-none-any.whl.
File metadata
- Download URL: ray_embedding-0.15.3-py3-none-any.whl
- Upload date:
- Size: 13.2 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 |
c0bddd5d85e6445959653524f8109ef7c36dfcf8bca9e843faa4c4c41ddba112
|
|
| MD5 |
350d3926d083d0ad5b748996f85c7fa1
|
|
| BLAKE2b-256 |
5e214170df5813c6b631838c16529b3c0de0e1bc04295662501d5d71c9786a02
|