Text Generation
PEFT
Safetensors
code
English
security
cybersecurity
secure-coding
ai-security
owasp
code-generation
qlora
lora
fine-tuned
securecode
conversational
Instructions to use scthornton/qwen2.5-coder-14b-securecode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use scthornton/qwen2.5-coder-14b-securecode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-14B-Instruct") model = PeftModel.from_pretrained(base_model, "scthornton/qwen2.5-coder-14b-securecode") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f80b02796d75a680e89ff17af5003d35fc0493ae921e2173e6c1aa7a61e17aca
- Size of remote file:
- 5.27 kB
- SHA256:
- 499033a660d13e26e9fef9838d115a379ce8249ad22bc0679622cef054d8740f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.