{% if model.metadata.description.summary is not none %} {% else %}

No summary provided

{% endif %}

{% if model.metadata.description.sample_code is not none %}

{{ model.metadata.description.sample_code }}

{% else %}
      
from opsml.registry import CardRegistry

model_registry = CardRegistry("model")
modelcard = model_registry.load_card(name="{{model.name}}", version="{{model.version}}")
modelcard.load_trained_model() # load the train model

# run predictions on trained model
print(modelcard.trained_model.predict(modelcard.sample_input_data))

# onnx version of model (if converted to onnx) if you want to play around with it
onnx_model = modelcard.onnx_model()
print(onnx_model.predict(onnx_model.sample_api_data))
      
    
{% endif %}