Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use viperDEE/phishing-links-detection-using-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use viperDEE/phishing-links-detection-using-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="viperDEE/phishing-links-detection-using-transformers")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("viperDEE/phishing-links-detection-using-transformers") model = AutoModelForSequenceClassification.from_pretrained("viperDEE/phishing-links-detection-using-transformers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f965a4d5e8d81ac0705f11a79cacaeb2f3455034e49a8bee80f7a409f31d612f
- Size of remote file:
- 5.2 kB
- SHA256:
- 0740ab727f1368aa47d469bffc1f8d6a4a8f62e4d38417ee22e65a72ce531911
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