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:
- 8e90cbfef2fa14b180f44dc422497907c8e7913c6db9654e0c67770e6db89abd
- Size of remote file:
- 336 MB
- SHA256:
- ef894f6daf736ab4a35fe0fba96204d34d3a179661233fc32771e92bcb515b0d
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