Open Neural Network Exchange

Related topics

• BigQuery ML works with Open Neural Network Exchange From the official documentation: “BigQuery ML support for ONNX lets you do the following:”
• CREATE MODEL works with Open Neural Network Exchange From the official documentation: “This document describes the `CREATE MODEL` statement for importing [Open Neural Network Exchange (ONNX)](https://onnx.ai/) models into BigQuery by using SQL.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Storage From the official documentation: “Sample to load Avro data from Cloud Storage into a new BigQuery table”
• BigQuery ML works with Cloud Storage From the official documentation: “You can export BigQuery ML models to Cloud Storage, and use them for online prediction, or edit them in Python.”
• remote model is part of BigQuery ML From the official documentation: “- Create a BigQuery ML remote model.”
• BigQuery works with CREATE MODEL From the official documentation: “This document describes the `CREATE MODEL` statement for importing [TensorFlow Lite](https://ai.google.dev/edge/litert) models into BigQuery by using SQL.”
• CREATE MODEL depends on Cloud Storage From the official documentation: “The following steps show you how to import the sample ONNX model from Cloud Storage by using a [`CREATE MODEL`](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-onnx) statement.”
• CREATE MODEL configures remote model From the official documentation: “Use the [`CREATE MODEL`](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model) statement to create a remote model that represents a hosted Agent Platform model:”
• BigQuery works with BigQuery ML From the official documentation: “BigQuery ML lets you build and operationalize machine learning (ML) models over data in BigQuery by using SQL.”
• BigQuery depends on Cloud Storage From the official documentation: “BigQuery relies on Cloud Storage for staging file data and supports reading from and writing to several other sources and Google Cloud services.”
• BigQuery works with remote model From the official documentation: “The function uses a BigQuery ML [remote model](/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model-service) to connect BigQuery to the Cloud Natural Language API.”
• BigQuery ML is part of BigQuery From the official documentation: “BigQuery ML models are stored in BigQuery datasets, similar to tables and views.”
• BigQuery ML depends on Cloud Storage From the official documentation: “BigQuery ML imports the model from Cloud Storage by using the credentials of the user who runs the `CREATE MODEL` statement.”