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| !pip install --upgrade transformers | |
| 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) |