mon_modele/MLmodel

artifact_path: s3://smec-deployment/5/models/m-68fd86309c904e1c89b1086aaf225dea/artifacts
flavors:
  python_function:
    config:
      device: null
    data: data
    env:
      conda: conda.yaml
      virtualenv: python_env.yaml
    loader_module: mlflow.pytorch
    pickle_module_name: mlflow.pytorch.pickle_module
    python_version: 3.10.20
  pytorch:
    code: null
    model_data: data
    pytorch_version: 2.5.1+cu121
mlflow_version: 3.12.0
model_id: m-68fd86309c904e1c89b1086aaf225dea
model_size_bytes: 20109254
model_uuid: m-68fd86309c904e1c89b1086aaf225dea
prompts: null
run_id: 6a1be1678fc04e14bdebba92d61e1fa9
utc_time_created: '2026-06-12 16:32:30.015303'