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Crayo1902
/
DPBH_DISTILBERT

Text Classification
Transformers
ONNX
Safetensors
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Crayo1902/DPBH_DISTILBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Crayo1902/DPBH_DISTILBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Crayo1902/DPBH_DISTILBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Crayo1902/DPBH_DISTILBERT")
    model = AutoModelForSequenceClassification.from_pretrained("Crayo1902/DPBH_DISTILBERT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DPBH_DISTILBERT
537 MB
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  • 1 contributor
History: 6 commits
Crayo1902's picture
Crayo1902
Delete onnx/model.onnx
0b71ce3 verified over 2 years ago
  • onnx
    Delete onnx/model.onnx over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.02 kB
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  • model.safetensors
    268 MB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.22 kB
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  • training_args.bin
    4.54 kB
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  • vocab.txt
    232 kB
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