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CodeGenerationModel(model_id: str, endpoint_name: Optional[str] = None)A language model that generates code.
.. rubric:: Examples
Getting answers:
generation_model = CodeGenerationModel.from_pretrained("code-bison@001") print(generation_model.predict( prefix="Write a function that checks if a year is a leap year.", ))
completion_model = CodeGenerationModel.from_pretrained("code-gecko@001") print(completion_model.predict( prefix="def reverse_string(s):", ))
Inheritance
builtins.object > vertexai._model_garden._model_garden_models._ModelGardenModel > vertexai.language_models._language_models._LanguageModel > CodeGenerationModelMethods
CodeGenerationModel
CodeGenerationModel(model_id: str, endpoint_name: Optional[str] = None)Creates a LanguageModel.
This constructor should not be called directly.
Use LanguageModel.from_pretrained(model_name=...) instead.
from_pretrained
from_pretrained(model_name: str)Loads a _ModelGardenModel.
| Exceptions | |
|---|---|
| Type | Description |
ValueError |
If model_name is unknown. |
ValueError |
If model does not support this class. |
predict
predict(
prefix: str,
suffix: Optional[str] = "",
*,
max_output_tokens: int = 128,
temperature: float = 0.0
)Gets model response for a single prompt.