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/codellama-13b-securecode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use scthornton/codellama-13b-securecode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "scthornton/codellama-13b-securecode") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8a2579a46f0a650e1e7488d3f1d6622bee652cc01c1e94b3a66e11d7eb70865
- Size of remote file:
- 5.27 kB
- SHA256:
- 8662ea17c75cc27b37a22bcc151888928a8f27b678e956afc2967518a712184f
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