How can I deploy a TensorFlow model using Docker?
You can deploy a TensorFlow model using Docker by creating a Docker image that includes your model and TensorFlow Serving.
What are the steps to create a Docker image for my model?
First, you need to create a Dockerfile that specifies the base image, copies your model files, and sets up TensorFlow Serving.
Can you provide an example Dockerfile?
Sure! Here's a simple example:
FROM tensorflow/serving
COPY /path/to/your/model /models/your_model
ENV MODEL_NAME your_model
How do I run the Docker container after building the image?
You can run the container using the command: docker run -p 8501:8501 --name=tf_serving_container -t your_image_name
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