Instructions to use medimo/practical-clinical-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medimo/practical-clinical-ct2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("medimo/practical-clinical-ct2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from medimo/practical-clinical-ct2: direct link, hf CLI and curl.
- Browser
- Download file 2.48 MB
-
https://huggingface.co/medimo/practical-clinical-ct2/resolve/main/tokenizer.json
- Command line
-
hf download hf://medimo/practical-clinical-ct2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/medimo/practical-clinical-ct2/resolve/main/tokenizer.json
2.48 MB
- Xet hash:
- 803ccdec7f7ece5106b18a157ff3d47806483b6a73a97afb386c2ca341105ffa
- Size of remote file:
- 2.48 MB
- SHA256:
- dfc530298b6fbed1a97c6472c575b026453706e2a204c7f7038f2c9d208b0759
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