pickle_test_0.0.20_7z Model Repo based on 42-eicar-street
Overview
The 42-eicar-street model on Hugging Face is designed for detecting and analyzing security threats in files and software. It leverages advanced AI techniques to identify malicious patterns, helping cybersecurity professionals and researchers enhance their threat detection capabilities.
Features
- Trained on diverse malware datasets to detect malicious code.
- Utilizes deep learning techniques for accurate threat classification.
- Supports real-time scanning and analysis.
Usage
You can use the model via the Hugging Face API:
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("42-eicar-street")
tokenizer = AutoTokenizer.from_pretrained("42-eicar-street")
Applications
- Malware detection and cybersecurity research.
- Enhancing threat intelligence systems.
- Automated scanning of files for security vulnerabilities.
References
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Model tree for ppradyoth/pickle_test_0.0.20_7z
Base model
mcpotato/42-eicar-street