Instructions to use daveydhruti/mistral-based-NIDS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daveydhruti/mistral-based-NIDS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "daveydhruti/mistral-based-NIDS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bebef603042ea70ed2748b9f8974499a70243145addb6a0b0e30e05becae841c
- Size of remote file:
- 169 MB
- SHA256:
- 62c9a9efa8eced911795343502191b7b9044f8b5aa46a6f27343859276faacbc
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