Instructions to use shawhin/bert-phishing-classifier_student with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawhin/bert-phishing-classifier_student with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shawhin/bert-phishing-classifier_student")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shawhin/bert-phishing-classifier_student") model = AutoModelForSequenceClassification.from_pretrained("shawhin/bert-phishing-classifier_student") - Notebooks
- Google Colab
- Kaggle
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README.md
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- f1
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base_model: distilbert/distilbert-base-uncased
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pipeline_tag: text-classification
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---
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# bert-phishing-classifier_student
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- f1
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base_model: distilbert/distilbert-base-uncased
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pipeline_tag: text-classification
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library_name: transformers
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# bert-phishing-classifier_student
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