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xynaxdev
/
ph5-url-distilbert

Text Classification
Transformers
ONNX
Safetensors
English
distilbert
cybersecurity
phishing-detection
url-classification
network-security
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use xynaxdev/ph5-url-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xynaxdev/ph5-url-distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="xynaxdev/ph5-url-distilbert")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("xynaxdev/ph5-url-distilbert")
    model = AutoModelForSequenceClassification.from_pretrained("xynaxdev/ph5-url-distilbert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ph5-url-distilbert
336 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
xynaxdev's picture
xynaxdev
Upload model_quantized.onnx with huggingface_hub
6f6fb44 verified 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    4.87 kB
    Update README.md 4 days ago
  • config.json
    804 Bytes
    Upload 6 files 4 days ago
  • model.safetensors
    268 MB
    xet
    Upload 6 files 4 days ago
  • model_quantized.onnx
    67.4 MB
    xet
    Upload model_quantized.onnx with huggingface_hub 4 days ago
  • special_tokens_map.json
    132 Bytes
    Upload 6 files 4 days ago
  • tokenizer.json
    712 kB
    Upload 6 files 4 days ago
  • tokenizer_config.json
    1.25 kB
    Upload 6 files 4 days ago
  • vocab.txt
    232 kB
    Upload 6 files 4 days ago