Text Classification
Transformers
Safetensors
English
Chinese
security
webshell-detection
malware-detection
cybersecurity
code-classification
php
asp
jsp
python
perl
Instructions to use null822/webshell-detect-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use null822/webshell-detect-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="null822/webshell-detect-bert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("null822/webshell-detect-bert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cf1646499f935ef218d302000d67e9ca5ad30b2fa14374f320d41f3211bf9ef
- Size of remote file:
- 499 MB
- SHA256:
- 093e0976ba67491aee2ec7adf44b59c2a1e926ca3a96c282ae752ce0e48c7996
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