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:
- 8cccd9ef838b61e9c771ed28bd87ce5d4330162ccbcc4d09760e0f778d1b0b69
- Size of remote file:
- 97.3 MB
- SHA256:
- 825a6b7508289aa3884639204f3f6c3a9088d62666addeb1cc5f66e04751df26
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