Levanti (English -> colloquial Levantine Arabic) translator
Trained on the Levanti dataset by fine-tuning Helsinki-NLP/opus-mt-en-ar for 8 epochs. This model is trained to support dialect conditional generation by utilizing the first token (followed by a space) as an indicator of the desired dialect:
- P for Palestinian
- L for Lebanese
- S for Syrian
- E for Egyptian
Example usage
from transformers import pipeline
trans = pipeline("translation", "guymorlan/levanti_translate_en_ar")
trans("P I wanna go to the store tomorrow")
Out[1]: [{'translation_text': 'بدي أروح ع الدكان بكرا'}]
Attribution
Created by Guy Mor-Lan.
Contact: guy.mor AT mail.huji.ac.il
- Downloads last month
- 31
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.