LASER embeddings
This project is a fork of https://github.com/yannvgn/laserembeddings with minimal changes.
✨ Version 1.2.0. What's new?
- increased minimal version of Torch, Sacremoses and Python in .toml file
laserembeddings is a pip-packaged, production-ready port of Facebook Research's LASER (Language-Agnostic SEntence Representations) to compute multilingual sentence embeddings.
If you want to see full version of description, please go to the original project homepage : https://github.com/yannvgn/laserembeddings.
1 maintainer
Metadata
1 maintainer
Release files for laserembeddings-fork 1.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| laserembeddings_fork-1.2.2.tar.gz | 10.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| laserembeddings_fork-1.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.4 kB
Release files / laserembeddings_fork-1.2.2.tar.gz
| Download URL | laserembeddings_fork-1.2.2.tar.gz |
|---|---|
| Size | 10.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fa809a373ade7c607c71b79278957546cbb73772be2ad0e8d1395e6ce04eed9f
|
|
BLAKE2b-256 checksum How to use checksums |
7207bd5e9a0310f574a11ff2c8c8c6bbe031b5f8e56668e48f38def2c058bbc2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
|
Release files / laserembeddings_fork-1.2.2-py3-none-any.whl
| Download URL | laserembeddings_fork-1.2.2-py3-none-any.whl |
|---|---|
| Size | 12.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
311fdf0f944eb61b859eca4774f9175290214d93cb35a7bf61ffb3d08c5575cf
|
|
BLAKE2b-256 checksum How to use checksums |
0f7fa80d8114b625274ed875d063e61de1a74f4683df50fe1f54d74e0aa6c64e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
|
