Instructions to use Helsinki-NLP/opus-mt-fr-nso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fr-nso 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-fr-nso")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-nso") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-nso") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4277f505081b594415a058f55c9e9158ad14d6ac7f626145dcbb5e14809c1178
- Size of remote file:
- 302 MB
- SHA256:
- fdee68e03ef334aec9b7a920712d80029c525d0409518760e5c4c608cd3b72e4
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