Text Generation
PEFT
Safetensors
code
English
security
cybersecurity
secure-coding
ai-security
owasp
code-generation
qlora
lora
fine-tuned
securecode
conversational
Instructions to use scthornton/codegemma-7b-securecode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use scthornton/codegemma-7b-securecode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b-it") model = PeftModel.from_pretrained(base_model, "scthornton/codegemma-7b-securecode") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9aa1981da4cfc123a70327f1aaa0dc777e4b34eeda8e9e7af530fed60f55aa0
- Size of remote file:
- 34.4 MB
- SHA256:
- d0e82b34dda1150dabfc30d57a92a6577e6b0a21d2311b91dd575e2e3c9f53fb
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