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Update README.md

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  ```python
 
 
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  from transformers import VisionEncoderDecoderModel, AutoTokenizer
 
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  tokenizer = AutoTokenizer.from_pretrained('tirthadagr8/CustomOCR')
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  model=VisionEncoderDecoderModel.from_pretrained('tirthadagr8/CustomOCR')
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  import torch
@@ -9,12 +12,12 @@ simple_transforms=T.Compose([
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  T.ToTensor(),
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  T.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
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  ])
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- from PIL import Image
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  path="image.jpg"
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  img=simple_transforms(Image.open(path))
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  model.eval()
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  with torch.no_grad():
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  print(tokenizer.batch_decode(model.cuda().generate(img.unsqueeze(0).cuda()),skip_special_tokens=True))
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- import matplotlib.pyplot as plt
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  plt.imshow(Image.open(path).resize((224,224)))
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  ```
 
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  ```python
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+ from PIL import Image
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+ import matplotlib.pyplot as plt
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  from transformers import VisionEncoderDecoderModel, AutoTokenizer
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+
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  tokenizer = AutoTokenizer.from_pretrained('tirthadagr8/CustomOCR')
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  model=VisionEncoderDecoderModel.from_pretrained('tirthadagr8/CustomOCR')
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  import torch
 
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  T.ToTensor(),
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  T.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
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  ])
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+
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  path="image.jpg"
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  img=simple_transforms(Image.open(path))
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  model.eval()
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  with torch.no_grad():
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  print(tokenizer.batch_decode(model.cuda().generate(img.unsqueeze(0).cuda()),skip_special_tokens=True))
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+
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  plt.imshow(Image.open(path).resize((224,224)))
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  ```