Instructions to use ealvaradob/bert-phishing-url with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ealvaradob/bert-phishing-url with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ealvaradob/bert-phishing-url")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ealvaradob/bert-phishing-url") model = AutoModelForSequenceClassification.from_pretrained("ealvaradob/bert-phishing-url", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b0a6aaf5919e29261818bd5b8bc413bbbaaef0538c3fc0b714305e7750a0d56
- Size of remote file:
- 4.73 kB
- SHA256:
- 7e0068e607e69affd077fb1ee60bec696fd9da5d63be740dfdeda55101abc23f
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