Create classifier

classifier

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+from transformers import ViTForImageClassification, ViTFeatureExtractor
+from PIL import Image
+import torch
+
+# Loading in Model
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model = ViTForImageClassification.from_pretrained( "imjeffhi/pokemon_classifier").to(device)
+feature_extractor = ViTFeatureExtractor.from_pretrained('imjeffhi/pokemon_classifier')
+
+# Caling the model on a test image
+img = Image.open('test.jpg')
+extracted = feature_extractor(images=img, return_tensors='pt').to(device)
+predicted_id = model(**extracted).logits.argmax(-1).item()
+predicted_pokemon = model.config.id2label[predicted_id]
+
+print('Predicted Pokemon:', predicted_pokemon)