Instructions to use Helsinki-NLP/opus-mt-sv-ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-sv-ee 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-sv-ee")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-sv-ee") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-sv-ee") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3493bfb7cfddf651142f9bf328324b6a8639a527b96fc58b03e3145f39d67794
- Size of remote file:
- 301 MB
- SHA256:
- 1cc8893a05fa0d247bf5650a0be89c4a9088291f30d1a315e2f4e0bcb6d2c5b5
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