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nlpconnect
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vit-gpt2-image-captioning

Image-to-Text
Transformers
PyTorch
vision-encoder-decoder
image-captioning
Inference Endpoints
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32

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@@ -29,6 +29,8 @@ This is an image captioning model trained by @ydshieh in [flax ](https://github.
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  ```python
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  from transformers import VisionEncoderDecoderModel, ViTFeatureExtractor, AutoTokenizer
 
 
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  model = VisionEncoderDecoderModel.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
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  feature_extractor = ViTFeatureExtractor.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
 
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  ```python
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  from transformers import VisionEncoderDecoderModel, ViTFeatureExtractor, AutoTokenizer
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+ import torch
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+ from PIL import Image
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  model = VisionEncoderDecoderModel.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
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  feature_extractor = ViTFeatureExtractor.from_pretrained("nlpconnect/vit-gpt2-image-captioning")