Class ImageQnAModel (1.48.0)

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ImageQnAModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Answers questions about an image.

Examples::

model = ImageQnAModel.from_pretrained("imagetext@001")
image = Image.load_from_file("image.png")
answers = model.ask_question(
    image=image,
    question="What color is the car in this image?",
    # Optional:
    number_of_results=1,
)

Methods

ImageQnAModel

ImageQnAModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

This constructor should not be called directly. Use {model_class}.from_pretrained(model_name=...) instead.

Parameters
Name	Description
model_id	str Identifier of a Model Garden Model. Example: "text-bison@001"
endpoint_name	typing.Optional[str] Vertex Endpoint resource name for the model

ask_question

ask_question(
    image: vertexai.vision_models.Image, question: str, *, number_of_results: int = 1
) -> typing.List[str]

Answers questions about an image.

Parameters
Name	Description
image	Image The image to get captions for. Size limit: 10 MB.
question	str Question to ask about the image.

from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

Parameter
Name	Description
model_name	str Name of the model.

Exceptions
Type	Description
ValueError	If model_name is unknown.
ValueError	If model does not support this class.