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Class ImageTextModel (1.68.0)
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ImageTextModel ( model_id : str , endpoint_name : typing . Optional [ str ] = None )
Generates text from images.
Examples::
model = ImageTextModel.from_pretrained("imagetext@001")
image = Image.load_from_file("image.png")
captions = model.get_captions(
image=image,
# Optional:
number_of_results=1,
language="en",
)
answers = model.ask_question(
image=image,
question="What color is the car in this image?",
# Optional:
number_of_results=1,
)
Methods
ImageTextModel
ImageTextModel ( 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.
ask_question
ask_question (
image : vertexai . vision_models . Image , question : str , * , number_of_results : int = 1
) - > typing . List [ str ]
Answers questions about an image.
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.
get_captions
get_captions (
image : vertexai . vision_models . Image ,
* ,
number_of_results : int = 1 ,
language : str = "en ",
output_gcs_uri : typing . Optional [ str ] = None
) - > typing . List [ str ]
Generates captions for a given image.
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Last updated 2024-09-24 UTC.
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Need to tell us more?
{"lastModified": "Last updated 2024-09-24 UTC."}
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