Text Generation
PEFT
TensorBoard
Safetensors
code
English
security
cybersecurity
secure-coding
ai-security
owasp
code-generation
lora
fine-tuned
securecode
conversational
Instructions to use scthornton/llama-3.2-3b-securecode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use scthornton/llama-3.2-3b-securecode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "scthornton/llama-3.2-3b-securecode") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e25a5623a25275338826a9ddcd9d2ad4645e1b55bba0cb172127f74ee0cfec39
- Size of remote file:
- 5.91 kB
- SHA256:
- c83a3a9712c445eb9d90b413c25b988988da524d82aa3d500de7cbd56fa391de
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