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Rad Dino changes for import model component #3683

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Rad Dino changes for import model component #3683

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1 change: 1 addition & 0 deletions assets/training/model_management/components/convert_model_to_mlflow/spec.yaml
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Expand Up @@ -79,6 +79,7 @@ inputs:
- mask-generation
- video-multi-object-tracking
- visual-question-answering
- embeddings
description: A Hugging face task on which model was trained on. A required parameter for transformers MLflow flavor. Can be provided as input here or in model_download_metadata JSON file.
optional: true

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1 change: 1 addition & 0 deletions assets/training/model_management/components/import_model/spec.yaml
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Expand Up @@ -100,6 +100,7 @@ inputs:
- mask-generation
- video-multi-object-tracking
- visual-question-answering
- embeddings
optional: true
type: string

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2 changes: 1 addition & 1 deletion assets/training/model_management/src/azureml/model/mgmt/processors/factory.py
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Expand Up @@ -72,7 +72,7 @@ def get_mlflow_convertor(model_framework, model_dir, output_dir, temp_dir, trans
return CLIPMLflowConvertorFactory.create_mlflow_convertor(
model_dir, output_dir, temp_dir, translate_params
)
elif (task == PyFuncSupportedTasks.EMBEDDINGS.value) and model_id.startswith(ModelFamilyPrefixes.DINOV2.value):
elif (task == PyFuncSupportedTasks.EMBEDDINGS.value) and (model_id.startswith(ModelFamilyPrefixes.DINOV2.value) or model_id.startswith(ModelFamilyPrefixes.RADDINO.value)):
return DinoV2MLflowConvertorFactory.create_mlflow_convertor(
model_dir, output_dir, temp_dir, translate_params
)
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2 changes: 2 additions & 0 deletions assets/training/model_management/src/azureml/model/mgmt/processors/pyfunc/config.py
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Expand Up @@ -65,3 +65,5 @@ class ModelFamilyPrefixes(_CustomEnum):

# DinoV2 model family.
DINOV2 = "facebook/dinov2"

RADDINO = "microsoft/rad-dino"
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