Add count_text_tokens, and expose operations. #76
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| @@ -114,6 +114,31 @@ def get_tuned_model( | |||
| return model_types.decode_tuned_model(result) | |||
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| def get_base_model_name( | |||
| model: model_types.AnyModelNameOptions, client: glm.ModelServiceClient | None = None | |||
| ): | |||
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Merge #78 first. |
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tests/test_text.py
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| response = text_service.count_text_tokens(model, "Tell me a story about a magic backpack.") | ||
| self.assertEqual({"token_count": 7}, response) | ||
| if len(self.observed_requests) > 1: |
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Can we make the guard condition here something that makes it clear why it's optional? e.g. if make_model_name(model).startswith("tunedModel/"): ... or an extra param like should_look_up_model=bool
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* Add count_text_tokens, and expose operations. * Format and fix pytype errors. * use get_base_model_name in create_tuned_model * Resolve comments
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Description of the change
Motivation
These should have been in v1beta2.
Type of change
Feature
Checklist
git pull --rebase upstream main).