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/model.safetensors from null822/webshell-detect-bert: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/null822/webshell-detect-bert/resolve/main/php_codebert_model/model.safetensors
- Command line
-
hf download hf://null822/webshell-detect-bert/php_codebert_model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/null822/webshell-detect-bert/resolve/main/php_codebert_model/model.safetensors
499 MB
- Xet hash:
- 0cf1646499f935ef218d302000d67e9ca5ad30b2fa14374f320d41f3211bf9ef
- Size of remote file:
- 499 MB
- SHA256:
- 093e0976ba67491aee2ec7adf44b59c2a1e926ca3a96c282ae752ce0e48c7996
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.