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trieutm
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blip-vqa-finetuned

Visual Question Answering
Transformers
Safetensors
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blip
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("visual-question-answering", model="trieutm/blip-vqa-finetuned")
# Load model directly
from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering

processor = AutoProcessor.from_pretrained("trieutm/blip-vqa-finetuned")
model = AutoModelForVisualQuestionAnswering.from_pretrained("trieutm/blip-vqa-finetuned")
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How to use:

For inference

Load model directly 

from transformers import BlipForQuestionAnswering, BlipProcessor

model = BlipForQuestionAnswering.from_pretrained("trieutm/blip-vqa-finetuned")
processor = BlipProcessor.from_pretrained("trieutm/blip-vqa-finetuned")
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Model size
0.4B params
Tensor type
F32
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Dataset used to train trieutm/blip-vqa-finetuned