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README.md
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@@ -7,3 +7,22 @@ finetuned from https://huggingface.co/google/vit-base-patch16-224-in21k
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dataset:26k images
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accuracy of validation dataset is 95%
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dataset:26k images
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accuracy of validation dataset is 95%
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```Python
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from transformers import ViTFeatureExtractor, ViTForImageClassification
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from PIL import Image
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path = 'image_path'
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image = Image.open(path)
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feature_extractor = ViTFeatureExtractor.from_pretrained('furusu/umamusume-classifier')
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model = ViTForImageClassification.from_pretrained('furusu/umamusume-classifier')
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inputs = feature_extractor(images=image, return_tensors="pt")
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outputs = model(**inputs)
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predicted_class_idx = outputs.logits.argmax(-1).item()
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print("Predicted class:", model.config.id2label[predicted_class_idx])
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```
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