I was trying to deploy ML model with the Tensorflow Serving. Even though I added sharing file path on the docker. This error keep comes out somehow. And I am working with a tflite file to deploy it, and it seems like not work at all. Please help and give some recommendations or feedback.
You can use the TF Saved Model Format (.pb).
save your model as save model format:
model.save('saved_model/1/', save_format="tf")
This Link shows how you can change your .tflite model to a standard model. It might be helpful.
Also in your picture: your mount directory is incorrect in tensorflow docker serving. you can use this command to run docker:
docker run -p 8501:8501 \
--mount type=bind,source=/path/to/my_model/,target=/models/my_model \
-e MODEL_NAME=my_model -t tensorflow/serving