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ilert
/
SoQbert

Text Classification
Transformers
PyTorch
ONNX
Safetensors
English
distilbert
neural-search
neural-search-query-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ilert/SoQbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ilert/SoQbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ilert/SoQbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ilert/SoQbert")
    model = AutoModelForSequenceClassification.from_pretrained("ilert/SoQbert")
  • Notebooks
  • Google Colab
  • Kaggle
SoQbert / onnx
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
byQuexo
Added onnx
c626f3f about 2 years ago
  • config.json
    699 Bytes
    xet
    Added onnx about 2 years ago
  • model.onnx
    268 MB
    xet
    Added onnx about 2 years ago
  • special_tokens_map.json
    695 Bytes
    xet
    Added onnx about 2 years ago
  • tokenizer.json
    711 kB
    xet
    Added onnx about 2 years ago
  • tokenizer_config.json
    1.25 kB
    xet
    Added onnx about 2 years ago
  • vocab.txt
    232 kB
    xet
    Added onnx about 2 years ago