Instructions to use mangsense/codet5-java-vulnerability-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mangsense/codet5-java-vulnerability-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Salesforce/codet5-small") model = PeftModel.from_pretrained(base_model, "mangsense/codet5-java-vulnerability-lora") - Transformers
How to use mangsense/codet5-java-vulnerability-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mangsense/codet5-java-vulnerability-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1dc4d69114f80075ec2b871af92cf563d053156458641322812b756487885e9
- Size of remote file:
- 2.37 MB
- SHA256:
- f488c44bfdf57704549c79871a59a5ef39eecdcda674d5acdb5799670e6052ba
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