<gh_stars>1000+
### tensorflow==2.3.0

import tensorflow as tf
import coremltools as ct

mlmodel = ct.convert('saved_model_256x256', source='tensorflow')
mlmodel.save("bisenetv2_celebamaskhq_256x256_float32.mlmodel")

mlmodel = ct.convert('saved_model_448x448', source='tensorflow')
mlmodel.save("bisenetv2_celebamaskhq_448x448_float32.mlmodel")

mlmodel = ct.convert('saved_model_480x640', source='tensorflow')
mlmodel.save("bisenetv2_celebamaskhq_480x640_float32.mlmodel")


### tensorflow==2.3.0

import tensorflow as tf
import coremltools as ct

mlmodel = ct.convert('saved_model_256x256', source='tensorflow')
mlmodel.save("bisenetv2_celebamaskhq_256x256_float32.mlmodel")

mlmodel = ct.convert('saved_model_448x448', source='tensorflow')
mlmodel.save("bisenetv2_celebamaskhq_448x448_float32.mlmodel")

mlmodel = ct.convert('saved_model_480x640', source='tensorflow')
mlmodel.save("bisenetv2_celebamaskhq_480x640_float32.mlmodel")
### tensorflow==2.3.0