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Update README.md

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  license: mit
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  license: mit
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+
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+
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+ ```python
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+ import torch
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+ from PIL import Image
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+ from transformers import AutoModel, CLIPImageProcessor
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+
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+ model = AutoModel.from_pretrained(
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+ 'OpenGVLab/InternViT-6B-224px',
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+ torch_dtype=torch.bfloat16,
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+ low_cpu_mem_usage=True,
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+ trust_remote_code=True).cuda().eval()
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+
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+ image = Image.open('./examples/image1.jpg').convert('RGB')
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+
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+ image_processor = CLIPImageProcessor.from_pretrained('OpenGVLab/InternViT-6B-224px')
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+
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+ pixel_values = image_processor(images=image, return_tensors='pt').pixel_values
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+ pixel_values = pixel_values.to(torch.bfloat16).cuda()
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+
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+ outputs = model(pixel_values)
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+ ```