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  • ML ONNX

    MLOnnx Example Methods MLOnnx Exports a traditional machine learning model (i.e. scikit-learn) to ONNX. Example See the link below for a detailed example. Notebook Descr...
  • ML ONNX

    MLOnnx Example Methods MLOnnx Exports a traditional machine learning model (i.e. scikit-learn) to ONNX. Example See the link below for a detailed example. Notebook Descr...
  • ML ONNX

    MLOnnx Example Methods __call__(self, model, task='default', output=None, opset=12) special MLOnnx Exports a traditional machine learning model (i.e. scikit-learn) to ON...
  • Database

    Database content sqlite objects functions query Database The following covers available content storage configuration options. content content : boolean | sqlite | duck...
  • Trainer

    HFTrainer Example Training tasks Methods __call__(self, base, train, validation=None, columns=None, maxlength=None, stride=128, task='text-classification', prefix=None, metrics=N...
  • Trainer

    HFTrainer Example Training tasks Methods __call__(self, base, train, validation=None, columns=None, maxlength=None, stride=128, task='text-classification', prefix=None, metrics=N...
  • ML ONNX

    MLOnnx Example Methods __call__(self, model, task='default', output=None, opset=12) special MLOnnx Exports a traditional machine learning model (i.e. scikit-learn) to ON...
  • Embeddings

    Embeddings Build Index Search More examples Embeddings Embeddings is the engine that delivers semantic search. Data is transformed into embeddings vectors where similar c...
  • Embeddings

    Embeddings Build Index Search More examples Embeddings Embeddings is the engine that delivers semantic search. Data is transformed into embeddings vectors where similar c...
  • Embeddings

    Embeddings Build Index Search More examples Embeddings Embeddings is the engine that delivers semantic search. Data is transformed into embeddings vectors where similar c...