Instructions to use caffeinatedcherrychic/Llama2-based-NIDS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use caffeinatedcherrychic/Llama2-based-NIDS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "caffeinatedcherrychic/Llama2-based-NIDS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 685065a2d2bcb285d8239ef3fea1c035b5b85bb406d1ae0e58b44afe294ead79
- Size of remote file:
- 320 MB
- SHA256:
- b9057a7e5fbaae3b56ef39a468017da527fa5ba75499f53aefd42b90561edc06
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