Instructions to use CluelessNovice/demo_model_cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CluelessNovice/demo_model_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_model_cls") - Notebooks
- Google Colab
- Kaggle
Download demo_regression.adapter.zip from CluelessNovice/demo_model_cls: direct link, hf CLI and curl.
- Browser
- Download file 2.4 MB
-
https://huggingface.co/CluelessNovice/demo_model_cls/resolve/main/demo_regression.adapter.zip
- Command line
-
hf download hf://CluelessNovice/demo_model_cls/demo_regression.adapter.zip
-
curl -L -o demo_regression.adapter.zip https://huggingface.co/CluelessNovice/demo_model_cls/resolve/main/demo_regression.adapter.zip
2.4 MB
- Xet hash:
- 801782a41e941bc5538e3ec75e61829cd4dd8c606b68e125b0ce672c52cac71c
- Size of remote file:
- 2.4 MB
- SHA256:
- f976f316c5c3d5212deba27b1662aebb9f98a27b7de308f2e01ceda7984abf4b
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