Instructions to use Helsinki-NLP/opus-mt-is-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-is-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-is-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-is-eo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-is-eo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae970dcb0decce869aed3ca6a510b179f8e4303c3301c301a767ad41a688ea47
- Size of remote file:
- 194 MB
- SHA256:
- 59cfaacc578694f6b3ae2b6f3a4ef2665b7303fb54d6f5a9b329e0220ed9fad4
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