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