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ayjays132
/
Quantum-NeuralAdaptiveLearningSystem

Text Classification
Transformers
PyTorch
Core ML
Safetensors
English
bert
exbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ayjays132/Quantum-NeuralAdaptiveLearningSystem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ayjays132/Quantum-NeuralAdaptiveLearningSystem with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ayjays132/Quantum-NeuralAdaptiveLearningSystem")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ayjays132/Quantum-NeuralAdaptiveLearningSystem")
    model = AutoModelForSequenceClassification.from_pretrained("ayjays132/Quantum-NeuralAdaptiveLearningSystem")
  • Notebooks
  • Google Colab
  • Kaggle
Quantum-NeuralAdaptiveLearningSystem / coreml
532 MB
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  • 1 contributor
History: 1 commit
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ayjays132
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