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blip-image-captioning-base

Image-to-Text
Transformers
PyTorch
TensorFlow
blip
text2text-generation
image-captioning
Inference Endpoints
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Update README.md

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by patrickvonplaten - opened
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README.md CHANGED
@@ -37,8 +37,8 @@ import requests
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  from PIL import Image
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  from transformers import BlipProcessor, BlipForConditionalGeneration
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- processor = BlipProcessor.from_pretrained("ybelkada/blip-image-captioning-base")
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- model = BlipForConditionalGeneration.from_pretrained("ybelkada/blip-image-captioning-base")
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  img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg'
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  raw_image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB')
 
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  from PIL import Image
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  from transformers import BlipProcessor, BlipForConditionalGeneration
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+ processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
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+ model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
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  img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg'
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  raw_image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB')