Instructions to use Helsinki-NLP/opus-mt-ar-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ar-eo 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="Helsinki-NLP/opus-mt-ar-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ar-eo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ar-eo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6bea12c1e0ed1ea9a364bab1e023f2d8be4e6de9e20d2b193dc5f60792c03ef
- Size of remote file:
- 195 MB
- SHA256:
- 0c8f47ea6e065dc15cf117dd9d621c29e71fae2f1636e0ec1c0c94cbdd19b40a
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