Text Classification
Transformers
ONNX
Safetensors
English
bert
security
web-application-firewall
sql-injection
xss
prompt-injection
phishing
calibration
decision-model
cross-encoder
text-embeddings-inference
Instructions to use sdmlai/cyber-jev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdmlai/cyber-jev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sdmlai/cyber-jev")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sdmlai/cyber-jev") model = AutoModelForSequenceClassification.from_pretrained("sdmlai/cyber-jev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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