Multilingual Entity Linking model by BELA model
Project description
MultiEL
Multilingual Entity Linking model by BELA model
This project want to create easy-to-use Multilingual Entity Linking model by BELA model.
Origin Project
- Bi-encoder Entity Linking Architecture (BELA): https://github.com/facebookresearch/BELA
Install
pip install multiel
Usage
from multiel import BELA
bela_run = BELA(device="cuda")
print(bela_run.process_batch(["นายกประยุทธ์ประกาศจัดการเลือกตั้ง"]))
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
MultiEL-0.3.tar.gz
(4.1 MB
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
MultiEL-0.3-py3-none-any.whl
(4.2 MB
view details)
File details
Details for the file MultiEL-0.3.tar.gz.
File metadata
- Download URL: MultiEL-0.3.tar.gz
- Upload date:
- Size: 4.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
60724892c45cbab8f4ba3222c31de4aa43c11e3a611021802258d4f75dec3c07
|
|
| MD5 |
34ee56fe22c3d3fde90bbe91480398a0
|
|
| BLAKE2b-256 |
b5e0b14c53b36c3d4042b71c2a79faaa68b6e1609ce3c5d1594c75116a6d8986
|
File details
Details for the file MultiEL-0.3-py3-none-any.whl.
File metadata
- Download URL: MultiEL-0.3-py3-none-any.whl
- Upload date:
- Size: 4.2 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4b7e251812c605259ee05f2546e9089933b7d237270679333cc33b66cb4489e0
|
|
| MD5 |
b09042f2ed6cd640d7c5cce454bc5c0f
|
|
| BLAKE2b-256 |
a4c13201110bb960cee292ae5055ff8ad01049e877f55dd3b47c9cc77a7a97f4
|