Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
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Method: projects.locations.models.patch
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HTTP request
PATCH https://{service-endpoint}/v1/{model.name}
Where {service-endpoint}
is one of the supported service endpoints .
Path parameters
Parameters
model.name
string
The resource name of the Model.
Query parameters
Parameters
updateMask
string (FieldMask
format)
Required. The update mask applies to the resource. For the FieldMask
definition, see google.protobuf.FieldMask
.
This is a comma-separated list of fully qualified names of fields. Example: "user.displayName,photo"
.
Request body
The request body contains an instance of Model
.
Response body
If successful, the response body contains an instance of Model
.
Authorization scopes
Requires the following OAuth scope:
https://www.googleapis.com/auth/cloud-platform
For more information, see the Authentication Overview .
IAM Permissions
Requires the following IAM permission on the name
resource:
For more information, see the IAM documentation .
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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-07-03 UTC.
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