Instructions to use swaleha19/bert-phishing-classifier_student with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swaleha19/bert-phishing-classifier_student with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="swaleha19/bert-phishing-classifier_student")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("swaleha19/bert-phishing-classifier_student") model = AutoModelForSequenceClassification.from_pretrained("swaleha19/bert-phishing-classifier_student", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload DistilBertForSequenceClassification
Browse files- model.safetensors +1 -1
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