Instructions to use CluelessNovice/demo_cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CluelessNovice/demo_cls 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_cls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d762eae490df949f15a9f77b2aa3548f076fac1c95f0db1d9c76731fd8ac2cf9
- Size of remote file:
- 3.57 MB
- SHA256:
- 68491a0b51b8838446509dadb8aa568d12d60b5a5b84b33b6ab4e5a15711d86a
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