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- #!/usr/bin/env python
- import os
- import sys
- file = sys.argv[1];
- base, extension = os.path.splitext(file)
- if extension == '.h5':
- import coremltools
- coreml_model = coremltools.converters.keras.convert(file)
- coreml_model.save(base + '.mlmodel')
- elif extension == '.pkl':
- import coremltools
- import sklearn
- sklearn_model = sklearn.externals.joblib.load(file)
- coreml_model = coremltools.converters.sklearn.convert(sklearn_model)
- coreml_model.save(base + '.mlmodel')
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