Instructions to use Omar-youssef/english-egyptian-arabic-translation-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omar-youssef/english-egyptian-arabic-translation-v1 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-translation-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Omar-youssef/english-egyptian-arabic-translation-v1") model = AutoModelForSeq2SeqLM.from_pretrained("Omar-youssef/english-egyptian-arabic-translation-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2d44b2dd2fe6dfad5d70879cc6071600e2df737d52ac1937046c76395a58711
- Size of remote file:
- 478 MB
- SHA256:
- 27ef2a0c59804651c17edcf7bc191ec26c1392608b9b12c95b0b01015ae7992d
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