Instructions to use Helsinki-NLP/opus-mt-uk-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-uk-no 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-uk-no")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-uk-no") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-uk-no") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 485c8903fa1b2c4943e87720ae7b2ea8311bea1a91c7d671f24850e449eb813e
- Size of remote file:
- 194 MB
- SHA256:
- 05fe6091d21ba1431ec2ba0e9e7a1a4e7974da7c0cdb631bd0443551fb12bffd
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