metadata
language:
- ar
- bg
- de
- el
- en
- es
- fr
- hi
- it
- ja
- nl
- pl
- pt
- ru
- sw
- th
- tr
- ur
- vi
- zh
tags:
- fastc
license: mit
datasets:
- papluca/language-identification
base_model: intfloat/multilingual-e5-large-instruct
Install FastC
pip install fastc
Model Inference
from fastc import SentenceClassifier
classifier = SentenceClassifier('braindao/e5-large-instruct-language-identifier-infused-papluca-fastc')
scores = classifier.predict_one('How are you today?')
language = max(scores, key=scores.get)