Text Generation
PEFT
Safetensors
cybersecurity
vulnerability-detection
java
owasp
code-analysis
lora
conversational
Instructions to use dilekmandal/owasp-java-security-qwen2.5-coder-7b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dilekmandal/owasp-java-security-qwen2.5-coder-7b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "dilekmandal/owasp-java-security-qwen2.5-coder-7b-lora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dilekmandal/owasp-java-security-qwen2.5-coder-7b-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/dilekmandal/owasp-java-security-qwen2.5-coder-7b-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://dilekmandal/owasp-java-security-qwen2.5-coder-7b-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dilekmandal/owasp-java-security-qwen2.5-coder-7b-lora/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- dadacb7c19c8875342854fd7072f34cbcf15414ba20d9fb962f902ae203eec85
- Size of remote file:
- 5.62 kB
- SHA256:
- 768f6166da2c0457d0d5bb5b7613617e4df67bed35ca89dc438684d0ea4c7639
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.