Text Generation
PEFT
Safetensors
code
English
security
cybersecurity
secure-coding
ai-security
owasp
code-generation
lora
fine-tuned
securecode
gemma-4
conversational
Instructions to use scthornton/gemma-4-e4b-securecode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use scthornton/gemma-4-e4b-securecode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "scthornton/gemma-4-e4b-securecode") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b2d4247352ff9f9b1a81d26f9a81d2cb8dcf4aa02fe1055a6f47b301b625d4f
- Size of remote file:
- 140 MB
- SHA256:
- 7ab940782f5e285196559f818340b029c89bb1b74bedbfc48e6f2b83a474dcec
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