Instructions to use Helsinki-NLP/opus-mt-nso-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-nso-es 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-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-nso-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-nso-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-nso-es: direct link, hf CLI and curl.
- Browser
- Download file 303 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-nso-es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-nso-es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-nso-es/resolve/main/pytorch_model.bin
303 MB
- Xet hash:
- 43c0c52817b736f38240c6357b8ae858bf8d6fc3608fd2651bec4dc8deee2822
- Size of remote file:
- 303 MB
- SHA256:
- 05f75661459038ff31c1e0cd77f5f98d45a28af85c69e12d39fc1cefdc47c64d
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