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Update README.md

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  1. README.md +4 -2
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@@ -39,12 +39,14 @@ Here is how to use this model:
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  from transformers import YolosFeatureExtractor, YolosForObjectDetection
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  from PIL import Image
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  import requests
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- url = 'https://drive.google.com/uc?id=1VwYLbGak5c-2P5qdvfWVOeg7DTDYPbro'
 
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  image = Image.open(requests.get(url, stream=True).raw)
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  feature_extractor = YolosFeatureExtractor.from_pretrained('nickmuchi/yolos-small-rego-plates-detection')
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- model = YolosForObjectDetection.from_pretrained('nickmuchi/yolos-small-finetuned-masks')
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  inputs = feature_extractor(images=image, return_tensors="pt")
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  outputs = model(**inputs)
 
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  # model predicts bounding boxes and corresponding face mask detection classes
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  logits = outputs.logits
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  bboxes = outputs.pred_boxes
 
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  from transformers import YolosFeatureExtractor, YolosForObjectDetection
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  from PIL import Image
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  import requests
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+
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+ url = 'https://drive.google.com/uc?id=1p9wJIqRz3W50e2f_A0D8ftla8hoXz4T5'
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  image = Image.open(requests.get(url, stream=True).raw)
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  feature_extractor = YolosFeatureExtractor.from_pretrained('nickmuchi/yolos-small-rego-plates-detection')
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+ model = YolosForObjectDetection.from_pretrained('nickmuchi/yolos-small-rego-plates-detection')
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  inputs = feature_extractor(images=image, return_tensors="pt")
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  outputs = model(**inputs)
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+
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  # model predicts bounding boxes and corresponding face mask detection classes
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  logits = outputs.logits
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  bboxes = outputs.pred_boxes