Thanks for your help!
At first, I added image_uri to the HuggingFaceModel which worked. First, I tried using image_uris.retrieve(framework='huggingface',region='us-east-1', instance_type='ml.t2.medium',image_scope='inference',base_framework_version='tensorflow2.4.1'), but it gave an error that the image_uri could not be found, so then I went to this list of images 1 and chose the image uri with the following properties: TensorFlow 2.4.1 with HuggingFace transformers, inference, CPU, py37.
Then I noticed that MultiDataModel requires launching from S3, so switched from HuggingFaceModel to Model in order to test pulling the model from the S3 bucket. Now that I look at it, it’s quite possible the model is not using the S3 model because I’m still passing in env=hub. (Could that explain why the Model works but MultiDataModel doesn’t?)

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