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
- Xet hash:
- b0716cc9952c8d65c5a458fc381c161906bb34c41e9ec44adf52593bfdfc67fa
- Size of remote file:
- 499 MB
- SHA256:
- 6afa5ed584331bf116f19525e3818577337a5b91462650915ae52b7e1f521c39
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