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protectai / codebert-base-Malicious_URLs-onnx
Model's Last Updated: Bước đều 25 2024
text-classification
Introduction of codebert-base-Malicious_URLs-onnx
Model Details of codebert-base-Malicious_URLs-onnx
ONNX version of DunnBC22/codebert-base-Malicious_URLs
This model is a conversion of DunnBC22/codebert-base-Malicious_URLs to ONNX format. It's based on the CodeBERT architecture, tailored for the specific task of identifying URLs that may pose security threats. The model was converted to ONNX using the 🤗 Optimum library.
Model Architecture
Base Model : CodeBERT-base, a robust model for programming and natural languages.
Dataset : https://www.kaggle.com/datasets/sid321axn/malicious-urls-dataset .
Modifications : Details of any modifications or fine-tuning done to tailor the model for malicious URL detection.
Usage
Loading the model requires the 🤗 Optimum library installed.
from optimum.onnxruntime import ORTModelForSequenceClassification
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("laiyer/codebert-base-Malicious_URLs-onnx")
model = ORTModelForSequenceClassification.from_pretrained("laiyer/codebert-base-Malicious_URLs-onnx")
classifier = pipeline(
task="text-classification",
model=model,
tokenizer=tokenizer,
top_k=None,
)
classifier_output = classifier("https://google.com")
print(classifier_output)
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Community
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Runs of protectai codebert-base-Malicious_URLs-onnx on huggingface.co
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More Information About codebert-base-Malicious_URLs-onnx huggingface.co Model
Url of codebert-base-Malicious_URLs-onnx
codebert-base-Malicious_URLs-onnx huggingface.co Url
Provider of codebert-base-Malicious_URLs-onnx huggingface.co
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Updated: Bước đều 06 2025
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