Upload MLmodel
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MLmodel
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artifact_path: intent_model
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flavors:
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python_function:
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artifacts:
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model_path:
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path: artifacts/model
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uri: model
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tokenizer_path:
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path: artifacts/tokenizer
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uri: model/tokenizer
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cloudpickle_version: 3.1.0
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env:
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conda: conda.yaml
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virtualenv: python_env.yaml
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loader_module: mlflow.pyfunc.model
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python_model: python_model.pkl
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python_version: 3.10.15
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mlflow_version: 2.9.2
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model_size_bytes: 1036253488
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model_uuid: 8418c8df1dd041428bf3591d096a8499
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run_id: ebe2ca3ecb634a96bf1ea3f65b2f86b9
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saved_input_example_info:
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artifact_path: input_example.json
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pandas_orient: split
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type: dataframe
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signature:
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inputs: '[{"type": "string", "name": "text"}]'
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outputs: '[{"type": "double", "name": "scores"}, {"type": "string", "name": "predicted_intent"}]'
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params: null
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utc_time_created: '2024-12-01 00:44:01.224565'
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