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:
- bbd592455b98d4e3287aa83c342b251b6e7c68bb75c405399aaf8dde9af67cc2
- Size of remote file:
- 5.91 kB
- SHA256:
- 5b0ccd0033a353b85183c0c8ae15d6b515fd2f11e5966a04965eb63c35667947
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