Instructions to use Helsinki-NLP/opus-mt-nso-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-nso-de 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-nso-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-nso-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-nso-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bb1ea1809b37b36074e35e72779ab36933bd05b2916f3daad2f132b3100d7a0
- Size of remote file:
- 303 MB
- SHA256:
- fa10a1acc607dda3b64e2d288444d6c9de3bb7172312db2c060ea7b28c6c7e24
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