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Hi,
Yes the model_best.params is the model. As described in the AWS documentation, the semantic segmentation algorithm used by SageMaker is buit using the MXNet Gluon framework and the Gluon CV toolkit so I would recommend that you try using MXNet instead of pytorch to run inference locally as converting the MXNet model into a pytorch model can be very tedious.
However if you prefer to stick with pytorch then I would suggest you use something like MMdnn and refer to this example for converting your model from MXNet to pytorch. Your results may vary when changing frameworks and MMdnn is not quite user friendly (you will need to rename your .params and .json file to be in a similar format as the example otherwise MMdnn will throw errors at you).
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