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| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 0, |
| 6 | + "metadata": { |
| 7 | + "application/vnd.databricks.v1+cell": { |
| 8 | + "cellMetadata": { |
| 9 | + "byteLimit": 2048000, |
| 10 | + "rowLimit": 10000 |
| 11 | + }, |
| 12 | + "inputWidgets": {}, |
| 13 | + "nuid": "9175ea53-6684-428f-a07e-2f8053cbb5b0", |
| 14 | + "showTitle": false, |
| 15 | + "tableResultSettingsMap": {}, |
| 16 | + "title": "" |
| 17 | + } |
| 18 | + }, |
| 19 | + "outputs": [], |
| 20 | + "source": [ |
| 21 | + "%sh curl -LsSf https://raw.githubusercontent.com/mlflow/mlflow/HEAD/dev/install-skinny.sh | sh -s pull/16923/merge" |
| 22 | + ] |
| 23 | + }, |
| 24 | + { |
| 25 | + "cell_type": "code", |
| 26 | + "execution_count": 0, |
| 27 | + "metadata": { |
| 28 | + "application/vnd.databricks.v1+cell": { |
| 29 | + "cellMetadata": { |
| 30 | + "byteLimit": 2048000, |
| 31 | + "rowLimit": 10000 |
| 32 | + }, |
| 33 | + "inputWidgets": {}, |
| 34 | + "nuid": "b55a2b4b-ae3b-4ca5-9396-7ec69c99a0d5", |
| 35 | + "showTitle": false, |
| 36 | + "tableResultSettingsMap": {}, |
| 37 | + "title": "" |
| 38 | + } |
| 39 | + }, |
| 40 | + "outputs": [], |
| 41 | + "source": [ |
| 42 | + "%restart_python" |
| 43 | + ] |
| 44 | + }, |
| 45 | + { |
| 46 | + "cell_type": "code", |
| 47 | + "execution_count": 0, |
| 48 | + "metadata": { |
| 49 | + "application/vnd.databricks.v1+cell": { |
| 50 | + "cellMetadata": { |
| 51 | + "byteLimit": 2048000, |
| 52 | + "rowLimit": 10000 |
| 53 | + }, |
| 54 | + "inputWidgets": {}, |
| 55 | + "nuid": "4e92fda4-16e1-406c-8c53-9a4a407d9d65", |
| 56 | + "showTitle": false, |
| 57 | + "tableResultSettingsMap": {}, |
| 58 | + "title": "" |
| 59 | + } |
| 60 | + }, |
| 61 | + "outputs": [], |
| 62 | + "source": [ |
| 63 | + "from mlflow.genai import disable_git_model_versioning, enable_git_model_versioning\n", |
| 64 | + "\n", |
| 65 | + "\n", |
| 66 | + "with enable_git_model_versioning() as c:\n", |
| 67 | + " print(c)\n" |
| 68 | + ] |
| 69 | + }, |
| 70 | + { |
| 71 | + "cell_type": "code", |
| 72 | + "execution_count": 0, |
| 73 | + "metadata": { |
| 74 | + "application/vnd.databricks.v1+cell": { |
| 75 | + "cellMetadata": {}, |
| 76 | + "inputWidgets": {}, |
| 77 | + "nuid": "fb45d025-e5fa-4357-b130-9fefa942ca96", |
| 78 | + "showTitle": false, |
| 79 | + "tableResultSettingsMap": {}, |
| 80 | + "title": "" |
| 81 | + } |
| 82 | + }, |
| 83 | + "outputs": [], |
| 84 | + "source": [] |
| 85 | + } |
| 86 | + ], |
| 87 | + "metadata": { |
| 88 | + "application/vnd.databricks.v1+notebook": { |
| 89 | + "computePreferences": { |
| 90 | + "hardware": { |
| 91 | + "accelerator": null, |
| 92 | + "gpuPoolId": null, |
| 93 | + "memory": null |
| 94 | + } |
| 95 | + }, |
| 96 | + "dashboards": [], |
| 97 | + "environmentMetadata": { |
| 98 | + "base_environment": "", |
| 99 | + "environment_version": "2" |
| 100 | + }, |
| 101 | + "inputWidgetPreferences": null, |
| 102 | + "language": "python", |
| 103 | + "notebookMetadata": { |
| 104 | + "mostRecentlyExecutedCommandWithImplicitDF": { |
| 105 | + "commandId": 8796780783058874, |
| 106 | + "dataframes": [ |
| 107 | + "_sqldf" |
| 108 | + ] |
| 109 | + }, |
| 110 | + "pythonIndentUnit": 4 |
| 111 | + }, |
| 112 | + "notebookName": "Untitled Notebook 2025-08-02 01_22_58", |
| 113 | + "widgets": {} |
| 114 | + }, |
| 115 | + "language_info": { |
| 116 | + "name": "python" |
| 117 | + } |
| 118 | + }, |
| 119 | + "nbformat": 4, |
| 120 | + "nbformat_minor": 0 |
| 121 | +} |
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