Text Generation
PEFT
TensorBoard
Safetensors
code
English
security
cybersecurity
secure-coding
ai-security
owasp
code-generation
qlora
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:
- 13988be3fa3bcde9c8374e048dcdb1be6fbc2184b4c51a10ecf175d6667ab45b
- Size of remote file:
- 97.3 MB
- SHA256:
- 52b717baf1b7a191376a7cd643fd78de9b77c692a58964b8da4e43c49a82e14f
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