LSET: Large Scale Embedding Trainer — PyTorch-native training framework for large-scale embedding and reranker models
Project description
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
lset-0.0.1.tar.gz
(3.7 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
lset-0.0.1-py3-none-any.whl
(2.1 kB
view details)
File details
Details for the file lset-0.0.1.tar.gz.
File metadata
- Download URL: lset-0.0.1.tar.gz
- Upload date:
- Size: 3.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.31.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6eecc274f9f829ec01d409870ae39b936f8379f2ecac9003c2ddae85c2d4744b
|
|
| MD5 |
9b8b13ad442296256af55f7e72997d41
|
|
| BLAKE2b-256 |
b410b7be2332a63bcab0d39fdce7a9de7487f33bdd38cc0b1785e490510898e6
|
File details
Details for the file lset-0.0.1-py3-none-any.whl.
File metadata
- Download URL: lset-0.0.1-py3-none-any.whl
- Upload date:
- Size: 2.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.31.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1dbdd2ab44c0a03f7625cde24063cbd7f39ef6e7c5daeb1770948d8b6fba700d
|
|
| MD5 |
b4833213b2ffea6da8f2928e3edb0bd1
|
|
| BLAKE2b-256 |
31dfe8e3b746b4c84dac0b5f842a536442fbbb49a9d4e9cf16a5c4f61501742f
|
