Instructions to use Helsinki-NLP/opus-mt-NORTH_EU-NORTH_EU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-NORTH_EU-NORTH_EU 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-NORTH_EU-NORTH_EU")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-NORTH_EU-NORTH_EU") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-NORTH_EU-NORTH_EU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94bfa7cbb191549c4fdc44d618b4f74e78e212b6e6ca7631989b29d98b953413
- Size of remote file:
- 298 MB
- SHA256:
- b14e7933a5a662e569892b8b491f95b92c27e62b76c3a9cd1d69c2887f9b7701
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