Instructions to use rootxhacker/mistralai-7B-attack2ttp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rootxhacker/mistralai-7B-attack2ttp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "rootxhacker/mistralai-7B-attack2ttp") - Notebooks
- Google Colab
- Kaggle
Upload trained [Ludwig](https://ludwig.ai/latest/) model weights (config)
Browse files- ludwig_config.json +0 -0
ludwig_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|