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:
- 65582e3c788859fe7a16ba9c65d63fdb535e3b8608648261ae8576ed95a0c5ad
- Size of remote file:
- 34.4 MB
- SHA256:
- 65385b921a0ca43424830b8eb602b785c9b5f3a019a70cf73a27b0ecf2115695
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.