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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mangsense/codet5-java-vulnerability-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download requirements.txt from mangsense/codet5-java-vulnerability-lora: direct link, hf CLI and curl.
- Browser
- Download file 25 Bytes
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https://huggingface.co/mangsense/codet5-java-vulnerability-lora/resolve/main/requirements.txt
- Command line
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hf download hf://mangsense/codet5-java-vulnerability-lora/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/mangsense/codet5-java-vulnerability-lora/resolve/main/requirements.txt
25 Bytes
| peft | |
| transformers | |
| torch |