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flaviagiammarino
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pubmed-clip-vit-base-patch32

Zero-Shot Image Classification
Transformers
PyTorch
TensorFlow
JAX
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clip
medical
vision
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flaviagiammarino commited on
Commit
1d7b952
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1 Parent(s): 3c50594

Update scripts/tf_example.py

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  1. scripts/tf_example.py +1 -1
scripts/tf_example.py CHANGED
@@ -8,7 +8,7 @@ from transformers import CLIPProcessor, TFCLIPModel
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  model = TFCLIPModel.from_pretrained("flaviagiammarino/pubmed-clip-vit-base-patch32")
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  processor = CLIPProcessor.from_pretrained("flaviagiammarino/pubmed-clip-vit-base-patch32")
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- url = "https://d168r5mdg5gtkq.cloudfront.net/medpix/img/full/synpic9078.jpg"
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  image = Image.open(requests.get(url, stream=True).raw)
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  text = ["Chest X-Ray", "Brain MRI", "Abdominal CT Scan"]
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  model = TFCLIPModel.from_pretrained("flaviagiammarino/pubmed-clip-vit-base-patch32")
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  processor = CLIPProcessor.from_pretrained("flaviagiammarino/pubmed-clip-vit-base-patch32")
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+ url = "https://huggingface.co/flaviagiammarino/pubmed-clip-vit-base-patch32/resolve/main/scripts/input.jpeg"
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  image = Image.open(requests.get(url, stream=True).raw)
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  text = ["Chest X-Ray", "Brain MRI", "Abdominal CT Scan"]
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