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:
- 5b092a82007aef52a1b8a9d8b15b482b8952f83404c2a66659b941e47c77243b
- Size of remote file:
- 169 MB
- SHA256:
- aff099a7ecc6bc7c04d5f8fd80d2443dd9f492cb12877c91fe4ea29066d9dd08
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