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:
- 07945f977851257c6b2928dddeca300c3d1812d1e15fb05e90903730e0c66b31
- Size of remote file:
- 3.61 MB
- SHA256:
- da6c1d44c93fcaa39ff74b5f8e0e028fcd2f1bd9a5938092066c415eb48de68b
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