Instructions to use JunXi888/phishing-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunXi888/phishing-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JunXi888/phishing-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JunXi888/phishing-detector") model = AutoModelForSequenceClassification.from_pretrained("JunXi888/phishing-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01dfa6c30ff8339a7aff24047875a5fa078b2f608373f3c9936a87f768915a62
- Size of remote file:
- 17.1 MB
- SHA256:
- a04dec98c0804beeedde93263778442d924081d88090d4ac3db097205fa959bd
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