Instructions to use CyberDataLab/BigBird_Syscall_Malware with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CyberDataLab/BigBird_Syscall_Malware with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CyberDataLab/BigBird_Syscall_Malware")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CyberDataLab/BigBird_Syscall_Malware") model = AutoModelForSequenceClassification.from_pretrained("CyberDataLab/BigBird_Syscall_Malware") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
pipeline_tag: text-classification
tags:
- malware
- syscalls
- bigbird
BigBird model trained on syscalls for malware detection.
It has five labels: Normal and four types of malware: Bashlite, TheTick, Bdvl, RansomwarePoC
Paper: https://arxiv.org/abs/2405.09318
Published at IEEE MILCOM 2024
Uploaded by https://huggingface.co/pedromiguelsanchez