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:
- bb954e15a6740c742c1c6653f22e64a81f8d8e87a8491def874ed9ccb8136a6b
- Size of remote file:
- 57.4 MB
- SHA256:
- b63aff14e581a6b0ee2d287895c2526f4c15246457752c46dfa099e603c4fb48
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