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    <title>topic Is Model Serving REST API available? in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/is-model-serving-rest-api-available/m-p/30216#M1628</link>
    <description>&lt;P&gt;This is mentioned in:&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/azure/databricks/mlflow/create-manage-serverless-model-endpoints" alt="https://learn.microsoft.com/en-us/azure/databricks/mlflow/create-manage-serverless-model-endpoints" target="_blank"&gt;https://learn.microsoft.com/en-us/azure/databricks/mlflow/create-manage-serverless-model-endpoints&lt;/A&gt;&lt;/P&gt;&lt;P&gt;with api call example, while in:&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/answers/questions/892678/how-to-enable-databricks-model-serving-with-rest-a.html" alt="https://learn.microsoft.com/en-us/answers/questions/892678/how-to-enable-databricks-model-serving-with-rest-a.html" target="_blank"&gt;https://learn.microsoft.com/en-us/answers/questions/892678/how-to-enable-databricks-model-serving-with-rest-a.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;it is mentioned that the functionality will be available shortly.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;It is also possible that my request is simply bad:                                                                                                                                                                                                                                                                                                                                                                                                                                                      &lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;import requests
url = '/preview/model-serving-api/endpoints-v2/enable'
data_json = {
    "registered_model_name": model_name
}
&amp;nbsp;
headers = {
    "Authorization": f"Bearer {token}",
    "Content-Type": "application/json",
}
&amp;nbsp;
u = host + '/api' + url
&amp;nbsp;
response = requests.request(method='POST', headers=headers, url=u, json=data_json)&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;Thanks in advance!&lt;/P&gt;</description>
    <pubDate>Thu, 29 Sep 2022 10:05:22 GMT</pubDate>
    <dc:creator>studentofml</dc:creator>
    <dc:date>2022-09-29T10:05:22Z</dc:date>
    <item>
      <title>Is Model Serving REST API available?</title>
      <link>https://community.databricks.com/t5/machine-learning/is-model-serving-rest-api-available/m-p/30216#M1628</link>
      <description>&lt;P&gt;This is mentioned in:&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/azure/databricks/mlflow/create-manage-serverless-model-endpoints" alt="https://learn.microsoft.com/en-us/azure/databricks/mlflow/create-manage-serverless-model-endpoints" target="_blank"&gt;https://learn.microsoft.com/en-us/azure/databricks/mlflow/create-manage-serverless-model-endpoints&lt;/A&gt;&lt;/P&gt;&lt;P&gt;with api call example, while in:&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/answers/questions/892678/how-to-enable-databricks-model-serving-with-rest-a.html" alt="https://learn.microsoft.com/en-us/answers/questions/892678/how-to-enable-databricks-model-serving-with-rest-a.html" target="_blank"&gt;https://learn.microsoft.com/en-us/answers/questions/892678/how-to-enable-databricks-model-serving-with-rest-a.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;it is mentioned that the functionality will be available shortly.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;It is also possible that my request is simply bad:                                                                                                                                                                                                                                                                                                                                                                                                                                                      &lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;import requests
url = '/preview/model-serving-api/endpoints-v2/enable'
data_json = {
    "registered_model_name": model_name
}
&amp;nbsp;
headers = {
    "Authorization": f"Bearer {token}",
    "Content-Type": "application/json",
}
&amp;nbsp;
u = host + '/api' + url
&amp;nbsp;
response = requests.request(method='POST', headers=headers, url=u, json=data_json)&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;Thanks in advance!&lt;/P&gt;</description>
      <pubDate>Thu, 29 Sep 2022 10:05:22 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/is-model-serving-rest-api-available/m-p/30216#M1628</guid>
      <dc:creator>studentofml</dc:creator>
      <dc:date>2022-09-29T10:05:22Z</dc:date>
    </item>
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