Text Generation
PEFT
Safetensors
code
English
security
cybersecurity
secure-coding
ai-security
owasp
code-generation
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:
- 8eb9ada58fbcf23771bb065d4a41c8dd5058e9e5edb50ee28cbdba87cd205ef3
- Size of remote file:
- 11.4 MB
- SHA256:
- 7ef098fb53e76cfa06a012b3826f5889a5ab693afa875d97c3353ae1edb9a1dc
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