Translation
Transformers
Safetensors
English
Arabic
marian
text2text-generation
NLP
Egyptian Arabic
English-Arabic
Instructions to use Omar-youssef/english-egyptian-arabic-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omar-youssef/english-egyptian-arabic-translator 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="Omar-youssef/english-egyptian-arabic-translator")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Omar-youssef/english-egyptian-arabic-translator") model = AutoModelForSeq2SeqLM.from_pretrained("Omar-youssef/english-egyptian-arabic-translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b649eecbd34e3866c2cbd700791c769bc408fb32b28003d5afacb2efd6102b91
- Size of remote file:
- 478 MB
- SHA256:
- fe591d15fdf580c804318f0d1007450027d62cfe19f9aa6f5831b83d65b78d54
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