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pawizard
/
traffic-classify

Text Classification
Transformers
ONNX
Safetensors
Chinese
bert
chinese
intent-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use pawizard/traffic-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pawizard/traffic-classify with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pawizard/traffic-classify")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pawizard/traffic-classify")
    model = AutoModelForSequenceClassification.from_pretrained("pawizard/traffic-classify", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
traffic-classify / onnx
513 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
pawizard's picture
pawizard
Upload traffic classifier with ONNX exports
aa7739c verified about 1 month ago
  • model_fp32.onnx
    409 MB
    xet
    Upload traffic classifier with ONNX exports about 1 month ago
  • model_int8.onnx
    103 MB
    xet
    Upload traffic classifier with ONNX exports about 1 month ago
  • special_tokens_map.json
    695 Bytes
    Upload traffic classifier with ONNX exports about 1 month ago
  • tokenizer.json
    439 kB
    Upload traffic classifier with ONNX exports about 1 month ago
  • tokenizer_config.json
    1.44 kB
    Upload traffic classifier with ONNX exports about 1 month ago
  • vocab.txt
    110 kB
    Upload traffic classifier with ONNX exports about 1 month ago