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:
- dcf82f79366ffaa42765bb85659d9f32f401dc0a70a9c23e7fc2707ee5cdfc94
- Size of remote file:
- 17.2 MB
- SHA256:
- 051830f2f6c06d23b79bfeb1cb00c36ab32a29c2905e80e0b8e22148b654ec8b
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