Instructions to use ScaDSAI/final_mistral_attack_idk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ScaDSAI/final_mistral_attack_idk 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_idk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e08b70ccc70840006f71c0b374383fc2e8ac2461b571d495480ee4ac47b67228
- Size of remote file:
- 8.08 kB
- SHA256:
- 265a1947684c2bf600e7e5695c2dff290637dcf0485e2c5d4ef73c1caaff8233
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