Instructions to use Helsinki-NLP/opus-mt-en-nso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-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-en-nso")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-nso") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-nso", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 032b62843f29ec5b28bac2c780273a074704110353e3d8c5c97931aea574c882
- Size of remote file:
- 297 MB
- SHA256:
- baff65d59f436cfc680d0437fb8c30053e9e4401a15508c1f9094f384a2cf1fb
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