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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("null822/webshell-detect-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download php_codebert_model/vocab.json from null822/webshell-detect-bert: direct link, hf CLI and curl.
- Browser
- Download file 999 kB
-
https://huggingface.co/null822/webshell-detect-bert/resolve/main/php_codebert_model/vocab.json
- Command line
-
hf download hf://null822/webshell-detect-bert/php_codebert_model/vocab.json
-
curl -L -o vocab.json https://huggingface.co/null822/webshell-detect-bert/resolve/main/php_codebert_model/vocab.json
999 kB
File too large to display, you can check the raw version instead.