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albertmartinez
/
bert-sdg-classification

Text Classification
Transformers
ONNX
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use albertmartinez/bert-sdg-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use albertmartinez/bert-sdg-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="albertmartinez/bert-sdg-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("albertmartinez/bert-sdg-classification")
    model = AutoModelForSequenceClassification.from_pretrained("albertmartinez/bert-sdg-classification")
  • Notebooks
  • Google Colab
  • Kaggle
bert-sdg-classification / onnx
439 MB
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  • 1 contributor
History: 2 commits
albertmartinez's picture
albertmartinez
update onnx
34ea702 verified almost 2 years ago
  • config.json
    1.34 kB
    update onnx almost 2 years ago
  • model_quantized.onnx
    438 MB
    xet
    update onnx almost 2 years ago
  • special_tokens_map.json
    695 Bytes
    update onnx almost 2 years ago
  • tokenizer.json
    712 kB
    update onnx almost 2 years ago
  • tokenizer_config.json
    1.38 kB
    update onnx almost 2 years ago
  • vocab.txt
    232 kB
    update onnx almost 2 years ago