Instructions to use Helsinki-NLP/opus-mt-sv-kwy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-sv-kwy 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-kwy")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-sv-kwy") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-sv-kwy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7191d3dc190d7531011c82154f8c605e1922d1c9a7e14bf59dd7a206664e86ea
- Size of remote file:
- 302 MB
- SHA256:
- 077cb9820a7b2f0be75eb374429e672d379d3b8017fe178039b97a0fa30837d8
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