readme: ---
  license: apache-2.0
  ---
  
  finetuned from https://huggingface.co/google/vit-base-patch16-224-in21k
  
  dataset:26k images (train:21k valid:5k)
  
  accuracy of validation dataset is 95%
  
  
  ```Python
  from transformers import ViTFeatureExtractor, ViTForImageClassification
  from PIL import Image
  
  path = 'image_path'
  image = Image.open(path)
  
  feature_extractor = ViTFeatureExtractor.from_pretrained('furusu/umamusume-classifier')
  model =  ViTForImageClassification.from_pretrained('furusu/umamusume-classifier')
  inputs = feature_extractor(images=image, return_tensors="pt")
  
  outputs = model(**inputs)
  
  predicted_class_idx = outputs.logits.argmax(-1).item()
  print("Predicted class:", model.config.id2label[predicted_class_idx])
  
  ```
  