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
PhishGuard-AI / runs /Apr25_00-26-07_8ac8e04da368 /events.out.tfevents.1777077228.8ac8e04da368.253.1
- Xet hash:
- e58777015c181eec0d9a7150b27439d7e8c8ab1f071d4855819688465d79c66e
- Size of remote file:
- 560 Bytes
- SHA256:
- 1f436666c5bef48bf13ec9be565f152eed2974a784ddc56ed9b94d3fb7a08617
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