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
- Xet hash:
- cc4f752b803feaf5efe4426f8cfd482db628bea736d156c5c1426e8539eda3ed
- Size of remote file:
- 2.4 MB
- SHA256:
- 2b046d0c20dc3f855b4e1c427c2d5f9d682f946b2ac3e3627f54ee245bf593c5
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