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* Add and update existing vertex skills - Add support for fine tuning for 1p gemini tuning - Add support for deploying fine tuned model support - Add support for running inference on MaaS models - Add open model support for regions and cost estimating for 3p tuning * fixing some of the commit errors * updated scripts to use existing gemini 1.5 pro model * swap gemini 1.5 pro to gemini 2.5 pro
27 lines
927 B
Python
27 lines
927 B
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import google.auth
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import vertexai
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from vertexai.generative_models import GenerativeModel
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# Get default project ID from environment
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_, project_id = google.auth.default()
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vertexai.init(project=project_id, location="us-central1")
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model = GenerativeModel("gemini-2.5-pro")
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response = model.generate_content("Why is the sky blue?")
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print(response.text)
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