Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use abbeydupsys/bert-phishing-classifier_teacher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abbeydupsys/bert-phishing-classifier_teacher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abbeydupsys/bert-phishing-classifier_teacher")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abbeydupsys/bert-phishing-classifier_teacher") model = AutoModelForSequenceClassification.from_pretrained("abbeydupsys/bert-phishing-classifier_teacher") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15c56f65e7cad6f1ceda9289afe61e480614e581688810f6fb3f2cfa5ad303eb
- Size of remote file:
- 5.37 kB
- SHA256:
- f86a0c5c7d085511ce6a02312f2cf7e2f2f784e91ff18785174dce1bf3f0f1c5
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