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.json from Ailonordsletta/med-opus: direct link, hf CLI and curl.
- Browser
- Download file 18.5 MB
-
https://huggingface.co/Ailonordsletta/med-opus/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ailonordsletta/med-opus/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ailonordsletta/med-opus/resolve/main/tokenizer.json
18.5 MB
- Xet hash:
- f4ee363b7785d74ff8e4740e13c79646821d1d5f64a586ed64ad5fa60d300ce1
- Size of remote file:
- 18.5 MB
- SHA256:
- 1d8f0326910136aca20831249220b38ce5299527647bc8c6b65404485c479740
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