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sunbv56/
vit-gpt2-imagecaptioningfood

Name: vit-gpt2-imagecaptioningfood
Availability: InStock

transformers

pytorch

tensorboard

vision-encoder-decoder

image-to-text

apache-2.0

endpoints_compatible

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About model

The model fined tuning with large data of API from bbcgoodfood.com

How to Get Started with the Model

python

from transformers import AutoTokenizer, VisionEncoderDecoderModel, ViTFeatureExtractor

tokenizer = AutoTokenizer.from_pretrained("gpt2") # for text
feature_extractor = ViTFeatureExtractor.from_pretrained("google/vit-base-patch16-224") # for image
model = VisionEncoderDecoderModel.from_pretrained("sunbv56/vit-gpt2-imagecaptioningfood") # load model

Example code here

https://www.kaggle.com/code/thuntrngbnh/test-model-vit-gpt2-icf/notebook