TensorflowServing Docker

Hello everyone! I have been enjoying this course. I have a question about tensorflow serving using docker docker run --rm -p 8501:8501 \ --mount type=bind,\ source=/tmp/tfserving/serving/tensorflow_serving/servables/tensorflow/testdata/saved_model_half_plus_two_cpu,\ target=/models/half_plus_two \ -e MODEL_NAME=half_plus_two -t tensorflow/serving & I am still having a hard time to understand what the source do it says to point the tensorflow serving to the directory containing the exported model my question is suppose I have a model in a directory “temp/june” what should how should I write the source and target and can I get a better explanation of what each step does thank you guys.

Upon cloning the repository in the instructions, you’ll point this directory within /tmp/serving as the model source on your machine.

So, set source=temp/june in the command to pick your model.

thank you @balaji.ambresh please can you explain what the target does. Must it be a models/a_name_you want for your model? thank you for your response

See bind mounts

thank you @balaji.ambresh