Instructions to use CluelessNovice/demo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CluelessNovice/demo_model with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("westlake-repl/SaProt_35M_AF2") model = PeftModel.from_pretrained(base_model, "CluelessNovice/demo_model") - Notebooks
- Google Colab
- Kaggle
Download demo_regression.adapter.zip from CluelessNovice/demo_model: direct link, hf CLI and curl.
- Browser
- Download file 2.4 MB
-
https://huggingface.co/CluelessNovice/demo_model/resolve/main/demo_regression.adapter.zip
- Command line
-
hf download hf://CluelessNovice/demo_model/demo_regression.adapter.zip
-
curl -L -o demo_regression.adapter.zip https://huggingface.co/CluelessNovice/demo_model/resolve/main/demo_regression.adapter.zip
2.4 MB
- Xet hash:
- 7319d73e7bb60530a4b925d2472022ca3e6d16d08ffdd88a2be2736dd141bb76
- Size of remote file:
- 2.4 MB
- SHA256:
- ffba12082ab33843ea516c5b1c3664589fba43546a6155e0fccf98a193512ecd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.