Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use vat75/PhishGuard-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vat75/PhishGuard-AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vat75/PhishGuard-AI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vat75/PhishGuard-AI") model = AutoModelForSequenceClassification.from_pretrained("vat75/PhishGuard-AI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cc88b0d86efc20e0bbb5fe0776423a1ba5575c37d144edf1f2b2dbe09c50a82
- Size of remote file:
- 651 MB
- SHA256:
- 6df789abf67fa68dc07e5cfd18212efd4366f18db071d4c5e4aaff00a448f46d
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