Instructions to use sarvanik/ministral-safety-reports-diverse-names-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sarvanik/ministral-safety-reports-diverse-names-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-3-8B-Base-2512") model = PeftModel.from_pretrained(base_model, "sarvanik/ministral-safety-reports-diverse-names-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc0cdbfbaa3fe2c01897f9b8b71380b0d26fe27a6e9c86649fa482a0055289c6
- Size of remote file:
- 5.2 kB
- SHA256:
- 4eebd555b07c6ad20617ace8e68d5a4dd11188cb369bb854154aea35d6d0b118
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