Instructions to use Helsinki-NLP/opus-mt-eo-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eo-el 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-eo-el")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-el") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-el") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16b970fc7b2af054c09588361b01710e7fcb7d0bd54a346e09ab2438c3f2f68c
- Size of remote file:
- 195 MB
- SHA256:
- 72bfb9585eee0fed2dc99c689128ad423b9fac1ded3fddc74d0524ce962ada82
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