Instructions to use Helsinki-NLP/opus-mt-wls-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-wls-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-wls-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-wls-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-wls-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d078ac968889bce29932f6942a92d6de44549811839f0af59d2f31fee0405aa
- Size of remote file:
- 261 MB
- SHA256:
- 9118e31ca903e70004c30dd3967a4fc8081c1239845f851a1597981729a78388
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