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ParisNeo
/
TinyBert-frugal-ai-text-classification

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

Instructions to use ParisNeo/TinyBert-frugal-ai-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ParisNeo/TinyBert-frugal-ai-text-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ParisNeo/TinyBert-frugal-ai-text-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ParisNeo/TinyBert-frugal-ai-text-classification")
    model = AutoModelForSequenceClassification.from_pretrained("ParisNeo/TinyBert-frugal-ai-text-classification")
  • Notebooks
  • Google Colab
  • Kaggle
TinyBert-frugal-ai-text-classification
116 MB
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  • 1 contributor
History: 14 commits
ParisNeo's picture
ParisNeo
Upload tokenizer
5aa3f22 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.69 kB
    Upload BertForSequenceClassification over 1 year ago
  • TinyBert-fine-tuned.onnx
    57.5 MB
    xet
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  • classification_report.txt
    868 Bytes
    Upload 11 files over 1 year ago
  • config.json
    1.17 kB
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  • confusion_matrix.png
    53.6 kB
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  • model.safetensors
    57.4 MB
    xet
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  • special_tokens_map.json
    732 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.53 kB
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  • training_loss_plot.png
    44.1 kB
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  • validation_accuracy_plot.png
    25.9 kB
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  • vocab.txt
    232 kB
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