Text Generation
PEFT
Safetensors
English
axolotl
qlora
code-generation
bash
cli
security
devops
conversational
Instructions to use mwill-AImission/SecureCLI-Tuner-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mwill-AImission/SecureCLI-Tuner-V2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "mwill-AImission/SecureCLI-Tuner-V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18f50e555a6eeb6b597a085a81d648f246d1ace2201dbf39c29ac4ef29a68b5e
- Size of remote file:
- 6.52 kB
- SHA256:
- bdf8e0c41e69396ccf5edb664cab14befcb65ce42311c60853f48849e4631dd4
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