Instructions to use KARAKOZA/egy_to_eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KARAKOZA/egy_to_eng with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="KARAKOZA/egy_to_eng")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KARAKOZA/egy_to_eng") model = AutoModelForSeq2SeqLM.from_pretrained("KARAKOZA/egy_to_eng") - Notebooks
- Google Colab
- Kaggle
source language: Egyptian
target language: English
fine tuned from model: Helsinki
How to Get Started with the Model
Use the code below to get started with the model.
from transformers import pipeline
egyptian_text = "ุญุท ุงูุฌู
ูุฉ ุงููู ุงูุช ุนุงูุฒูุง ููุง"
translator = pipeline("translation", model = "KARAKOZA/egy_to_eng")
translation = translator(egyptian_text)[0]["translation_text"]
print(translation)
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