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:
- 6aaf375643751f31ccffebb116ed1166901eb99ea8aac3913dd0b1f26acc21d3
- Size of remote file:
- 916 kB
- SHA256:
- db09c46631638384f2b13ccdececb1c88103f0e59c14d5def247975007e7eaac
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