Text Generation
PEFT
Safetensors
English
qwen
qwen2.5
fine-tuned
synthetic-data
instruction-tuned
silicon-factory
conversational
Instructions to use AEUPH/synthetic_Jailbreak_Defense_Doorpage_v53-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AEUPH/synthetic_Jailbreak_Defense_Doorpage_v53-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "AEUPH/synthetic_Jailbreak_Defense_Doorpage_v53-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ab8f7bd13c880f966c8ff72ad4d19d5966d646a74233cde40498cc63de13b25
- Size of remote file:
- 11.4 MB
- SHA256:
- 2f55e63353d3d978b390d346bae531be8b83bc9532c0be500d62b7253aa4c595
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