Class ImageQnAModel (1.46.0) 

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.