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:
- 68a54e6ebf3a1f9dbccee204774c35148dd40fcfc5fe8f05695b030158b11fac
- Size of remote file:
- 873 MB
- SHA256:
- c8d5f65222a30bf8d000bcf6970b64f713fd1c9e8a5595d134cd33968c1a1e6a
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