Instructions to use ScaDSAI/final_mistral_attack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ScaDSAI/final_mistral_attack with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "ScaDSAI/final_mistral_attack") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ba337fd91a5f47985bf3cfebfe082b17f9a7a26efeec03c76bdff5017a33fd5
- Size of remote file:
- 8.08 kB
- SHA256:
- a0c13960ce80028c7cf22628b459dc55012262df317c0040105f6a26e598e6d9
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