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gericdong
2023-03-09 15:55:08 -05:00
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notebooks/official/prediction/pytorch_image_classification_with_prebuilt_serving_containers.ipynb
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"source": [
"## Overview\n",
"\n",
"Vertex AI provides Docker container images that you run as prebuilt containers for serving predictions and explanations from trained model artifacts. Using prebuilt containers, you can deploy models for inference and prediction quickly and reliably at any scale.\n",
"Vertex AI provides Docker container images that you run as prebuilt containers for serving predictions and explanations from trained model artifacts. Using prebuilt containers, you can deploy models for prediction quickly and reliably at any scale.\n",
"\n",
"This tutorial demonstrates how to deploy a PyTorch image model using a prebuilt TorchServe container for serving online and batch predictions with minimal configuration.\n",
"This tutorial demonstrates how to deploy a PyTorch image model using a prebuilt Vertex AI container with TorchServe for serving online and batch predictions with minimal configuration.\n",
"\n",
"Learn more about [Pre-built containers for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)."
]
@@ -102,9 +102,9 @@
"id": "08d289fa873f"
},
"source": [
"### Dataset\n",
"### Model\n",
"\n",
"In this example, you use the TensorFlow [flowers](http://download.tensorflow.org/example_images/flower_photos.tgz) dataset for inference."
"In this example, you use a pretrained image model [resnet18](https://pytorch.org/vision/master/models/generated/torchvision.models.resnet18.html) from the PyTorch TorchVision."
]
},
{