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  1. README.md +1 -1
README.md CHANGED
@@ -28,7 +28,7 @@ SwiftFormer paper introduces a novel efficient additive attention mechanism that
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  image = Image.open(requests.get(url, stream=True).raw)
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  from transformers import ViTImageProcessor
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- processor = ViTImageProcessor.from_pretrained('shehan97/swiftformer-l3')
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  inputs = processor(images=image, return_tensors="pt")
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  image = Image.open(requests.get(url, stream=True).raw)
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  from transformers import ViTImageProcessor
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+ processor = ViTImageProcessor.from_pretrained('MBZUAI/swiftformer-l3')
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  inputs = processor(images=image, return_tensors="pt")
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