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:
- d35939a0c6608760b806be3957a6e7884df2875a62223459bffa89495f7c6e4d
- Size of remote file:
- 5.24 kB
- SHA256:
- f18352ab3830afa997988b1e74a10584daa512439421824369809661d1306bfb
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