MBZUAI
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swiftformer-l3

Image Classification

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Update README.md

#1

by nikeke19pc - opened Jul 25, 2023

base: refs/heads/main

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

     image = Image.open(requests.get(url, stream=True).raw)
     from transformers import ViTImageProcessor
+    processor = ViTImageProcessor.from_pretrained('MBZUAI/swiftformer-l3')
     inputs = processor(images=image, return_tensors="pt")