Pokemon Classifier

🚀 寶可夢分類器

寶可夢分類器是基於收集的寶可夢圖像數據集對ViT-base模型進行微調得到的版本。你可以點擊此處瞭解該模型的更多信息。

🚀 快速開始

模型使用示例

以下是使用該模型進行寶可夢分類的代碼示例：

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]