Instructions to use Helsinki-NLP/opus-mt-no-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-no-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-no-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-no-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-no-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2a6b5f542ca4ebf92c79367bdcfe7c7cbb8fcabd95234291f55cbf3959cdd75
- Size of remote file:
- 192 MB
- SHA256:
- 068667820b9f432e07f6e5d8cb0599ef1825d74da0dae10b5572031a9ed257a5
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