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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 614427d5a5bb5fa59030116d98833a80c7c21988ebb95033fb680e6363469804
- Size of remote file:
- 57.4 MB
- SHA256:
- e88c35f6e6d903c280103e13313d2b8582eec78cd5c59cdcd0a0b9a9d8ad32c1
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