Instructions to use protectai/codebert-base-Malicious_URLs-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use protectai/codebert-base-Malicious_URLs-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="protectai/codebert-base-Malicious_URLs-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("protectai/codebert-base-Malicious_URLs-onnx") model = AutoModelForSequenceClassification.from_pretrained("protectai/codebert-base-Malicious_URLs-onnx") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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language:
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- en
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pipeline_tag: text-classification
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inference: false
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datasets:
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- sid321axn/malicious-urls-dataset
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language:
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- en
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pipeline_tag: text-classification
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base_model: DunnBC22/codebert-base-Malicious_URLs
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inference: false
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datasets:
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- sid321axn/malicious-urls-dataset
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