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TextGenerationModel(model_id: str, endpoint_name: typing.Optional[str] = None)
TextGenerationModel represents a general language model.
Examples::
# Getting answers:
model = TextGenerationModel.from_pretrained("text-bison@001")
model.predict("What is life?")
Methods
TextGenerationModel
TextGenerationModel(model_id: str, endpoint_name: typing.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) -> vertexai._model_garden._model_garden_models.T
Loads a _ModelGardenModel.
Exceptions | |
---|---|
Type | Description |
ValueError |
If model_name is unknown. |
ValueError |
If model does not support this class. |
predict
predict(
prompt: str,
*,
max_output_tokens: int = 128,
temperature: float = 0.0,
top_k: int = 40,
top_p: float = 0.95
) -> vertexai.language_models._language_models.TextGenerationResponse
Gets model response for a single prompt.