Update README
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README.md
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@@ -41,11 +41,12 @@ url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
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image = Image.open(requests.get(url, stream=True).raw)
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feature_extractor = ViTFeatureExtractor.from_pretrained('google/vit-large-patch32-384')
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model = ViTForImageClassification.from_pretrained('google/vit-large-patch32-384')
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inputs = feature_extractor(images=image)
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outputs = model(**inputs)
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logits = outputs.logits
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# model predicts one of the 1000 ImageNet classes
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```
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Currently, both the feature extractor and model support PyTorch. Tensorflow and JAX/FLAX are coming soon, and the API of ViTFeatureExtractor might change.
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image = Image.open(requests.get(url, stream=True).raw)
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feature_extractor = ViTFeatureExtractor.from_pretrained('google/vit-large-patch32-384')
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model = ViTForImageClassification.from_pretrained('google/vit-large-patch32-384')
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inputs = feature_extractor(images=image, return_tensors="pt")
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outputs = model(**inputs)
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logits = outputs.logits
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# model predicts one of the 1000 ImageNet classes
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predicted_class_idx = logits.argmax(-1).item()
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print("Predicted class:", model.config.label2id[predicted_class_idx])
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```
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Currently, both the feature extractor and model support PyTorch. Tensorflow and JAX/FLAX are coming soon, and the API of ViTFeatureExtractor might change.
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