Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use aisuko/phishing-binary-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aisuko/phishing-binary-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aisuko/phishing-binary-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aisuko/phishing-binary-classification") model = AutoModelForSequenceClassification.from_pretrained("aisuko/phishing-binary-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07a6b15b4de38deffd3a65b7214be8a2f07edf212525585d9364d41055bfd7d1
- Size of remote file:
- 5.24 kB
- SHA256:
- b0419a9fc4cda977732d4463d314102082a1fa4d10752ef7d392696dab318e36
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