How do I set up TensorFlow Serving with Docker?

How do I set up TensorFlow Serving with Docker?

To set up TensorFlow Serving with Docker, you need to pull the TensorFlow Serving image from Docker Hub. You can do this using the command: docker pull tensorflow/serving.

What are the next steps after pulling the image?

After pulling the image, you can run a container using the command: docker run -p 8501:8501 --name=tf_serving --mount type=bind,source=/path/to/your/model,target=/models/model_name -e MODEL_NAME=model_name -t tensorflow/serving.

How do I check if TensorFlow Serving is running?

You can check if TensorFlow Serving is running by sending a request to the REST API. Use curl to send a request: curl -d '{"signature_name":"serving_default", "instances":[{"input_tensor_name": [your_input_data]}]}' -H 'Content-Type: application/json' -X POST http://localhost:8501/v1/models/model_name:predict.

What if I encounter errors during setup?

If you encounter errors, check the Docker logs using docker logs tf_serving for any error messages that can help diagnose the issue.