Text Classification
Transformers
Safetensors
English
bert
cybersecurity
malicious-url-detection
phishing-detection
text-embeddings-inference
Instructions to use r3ddkahili/final-complete-malicious-url-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use r3ddkahili/final-complete-malicious-url-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="r3ddkahili/final-complete-malicious-url-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("r3ddkahili/final-complete-malicious-url-model") model = AutoModelForSequenceClassification.from_pretrained("r3ddkahili/final-complete-malicious-url-model") - Notebooks
- Google Colab
- Kaggle