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yashodhajayasinghe
/
nexar-quantum-language-classifier

Text Classification
Transformers
Safetensors
English
code
code-classification
programming-language
codebert
xgboost
random-forest
gradient-boosting
ensemble
machine-learning
Model card Files Files and versions
xet
Community

Instructions to use yashodhajayasinghe/nexar-quantum-language-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yashodhajayasinghe/nexar-quantum-language-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yashodhajayasinghe/nexar-quantum-language-classifier")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yashodhajayasinghe/nexar-quantum-language-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nexar-quantum-language-classifier / codebert
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
yashodhajayasinghe's picture
yashodhajayasinghe
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c83b9b1 verified 21 days ago
  • config.json
    1.04 kB
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  • merges.txt
    456 kB
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  • model.safetensors
    499 MB
    xet
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  • special_tokens_map.json
    1.01 kB
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.27 kB
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  • vocab.json
    798 kB
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