Text Generation
PEFT
Safetensors
English
codeguard
security
qwen2.5
lora
code-analysis
vulnerability-detection
cwe
sql-injection
command-injection
hardcoded-secrets
insecure-deserialization
xxe
path-traversal
ssrf
deserialization
conversational
Instructions to use NiffyHunt90/codeguard-security-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NiffyHunt90/codeguard-security-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "NiffyHunt90/codeguard-security-7b") - Notebooks
- Google Colab
- Kaggle
Commit History
docs: add training-pipeline.svg 629b74e verified
docs: full README with dataset, training, usage a40a908 verified
Update chat_template.jinja 4e20a8a verified
Niffhunt commited on
Update README.md 7dbab0b verified
Niffhunt commited on
Upload tokenizer f80003c verified
Niff_hunt commited on
Upload model d21d6b3 verified
Niff_hunt commited on
initial commit ed81ea0 verified
Niff_hunt commited on