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docs: Mark Gemini model as Pre-GA (#543)
Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://togithub.com/googleapis/python-bigquery-dataframes/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) Fixes #<issue_number_goes_here> 🦕
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bigframes/ml/llm.py

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@@ -421,6 +421,12 @@ def to_gbq(
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class GeminiTextGenerator(base.BaseEstimator):
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"""Gemini text generator LLM model.
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.. note::
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This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the
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Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is"
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and might have limited support. For more information, see the launch stage descriptions
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(https://cloud.google.com/products#product-launch-stages).
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Args:
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session (bigframes.Session or None):
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BQ session to create the model. If None, use the global default session.

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