Instructions to use Helsinki-NLP/opus-mt-efi-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-efi-sv 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-efi-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-efi-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-efi-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b00091bba9d26f5fb8bc2d926d6e9899b1a2ae199a8e352db572fca476123603
- Size of remote file:
- 300 MB
- SHA256:
- 656c9c173661cce1c40ffa1cf4f2d9c2c0bec00c5ff720b31cbb9013683ea1b8
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