feat: support fit() in GeminiTextGenerator#758
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gcf-merge-on-green[bot] merged 4 commits intomainfrom Jun 6, 2024
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GarrettWu
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Jun 6, 2024
tests/system/load/test_llm.py
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| model_name="gemini-pro", max_iterations=1 | ||
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| df = llm_fine_tune_df_default_index.dropna().sample(n=100) |
| X, y = utils.convert_to_dataframe(X, y) | ||
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| options = self._bqml_options | ||
| options["endpoint"] = "gemini-1.0-pro-002" |
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Spill out the model version to be used for tuning in docs.
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Our model name is "gemini-pro-1.0", but their endpoint is called "gemini-1.0-pro-002". Any ideas for how to spill out it?
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synced offline, no need to document the model version now: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/model-versioning#auto-updated-models
| GeminiTextGenerator: Fitted estimator. | ||
| """ | ||
| if self._bqml_model.model_name.startswith("gemini-1.5"): | ||
| raise NotImplementedError("Fit is not supported for gemini-1.5 model.") |
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Also mention supported model types in docs.
GarrettWu
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Jun 6, 2024
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Fixes internal #343765747🦕