Instructions to use AaranWang/wq_cls_binary_locolization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AaranWang/wq_cls_binary_locolization with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("westlake-repl/SaProt_650M_AF2") model = PeftModel.from_pretrained(base_model, "AaranWang/wq_cls_binary_locolization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 418757830e948d7a091458a58b83a1a8fbb3bc19e7f898ccffe3f885b4c14404
- Size of remote file:
- 28.6 MB
- SHA256:
- 54c9552930227a8ed5ea1f4ee578421828c3c76c4128087c69a8cc940bd0d3ae
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