宝可梦分类器

简介

基于收集的宝可梦图像集微调后的ViT-base版本模型。您可以通过此链接阅读更多关于该模型的详细信息。

使用模型

from transformers import ViTForImageClassification, ViTFeatureExtractor
from PIL import Image
import torch

# 加载模型
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')

# 在测试图像上调用模型
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]