Instructions to use Helsinki-NLP/opus-mt-de-nso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-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-de-nso")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-nso") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-nso", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-de-nso: direct link, hf CLI and curl.
- Browser
- Download file 303 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-de-nso/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-de-nso/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-de-nso/resolve/main/pytorch_model.bin
303 MB
- Xet hash:
- c412bd4c00b176991b6f3dca4d885a4fc16413c261b2cbd97740cf438a90a104
- Size of remote file:
- 303 MB
- SHA256:
- ba366add02aa1e50700b3135fdf9d280e5037ea7114e48c01d9f75418ecc999a
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