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"]))output:
[{'offsets': [0], 'lengths': [12], 'entities': ['Q2108126'], 'md_scores': [0.22365164756774902], 'el_scores': [0.6967974901199341]}]API
from multiel import BELA
BELA(
md_threshold:float=0.2,
el_threshold:float=0.4,
checkpoint_name: str="wiki",
device: str="cuda:0",
config_name:str="joint_el_mel_new",
repo:str="wannaphong/BELA"
)- md_threshold: md threshold
- el_threshold: Entity Linking threshold
- checkpoint_name: checkpoint name (wiki, aida, mewsli, and e2e) or your file name with extension
- device: device
- config_name: config name (in the BELA project)
- repo: Huggingface Hub repo (Default wannaphong/BELA)
Predict
BELA.process_batch([str, str])License
MIT license and the model is MIT license. (BELA is MIT licensed)