Text Generation
PEFT
Safetensors
code
English
security
cybersecurity
secure-coding
ai-security
owasp
code-generation
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
Download training_args.bin from scthornton/codegemma-7b-securecode: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/scthornton/codegemma-7b-securecode/resolve/refs%2Fpr%2F2/training_args.bin
- Command line
-
hf download hf://scthornton/codegemma-7b-securecode@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/scthornton/codegemma-7b-securecode/resolve/refs%2Fpr%2F2/training_args.bin
5.84 kB
- Xet hash:
- 6499befcc8dbf6914c233229228fb1303dc460170dd52b6624e589aa00e7c0a3
- Size of remote file:
- 5.84 kB
- SHA256:
- 6d7a66b72156cd94f5d50bb68296dd349bab6cbdc5971586cb39197c79726b1b
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