Instructions to use Ailonordsletta/med-opus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ailonordsletta/med-opus with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ailonordsletta/med-opus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Ailonordsletta/med-opus: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/Ailonordsletta/med-opus/resolve/main/tokenizer.model
- Command line
-
hf download hf://Ailonordsletta/med-opus/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Ailonordsletta/med-opus/resolve/main/tokenizer.model
2.78 MB
- Xet hash:
- 1d7909f5ddbf1afdc3d23bacea3bebf485c9fbf3993f497956f229bd2b5e28a2
- Size of remote file:
- 2.78 MB
- SHA256:
- fb41d04798b714520a9b075727b0226538b7330254299062742c50ec8374bc36
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