flaviagiammarino
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1a58766
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Parent(s):
7b34334
Upload 2 files
Browse files- scripts/pt_example.py +1 -1
- scripts/tf_example.py +1 -1
scripts/pt_example.py
CHANGED
@@ -7,7 +7,7 @@ from transformers import CLIPProcessor, CLIPModel
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model = CLIPModel.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/
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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 = CLIPModel.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/synpic58476.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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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/
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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://d168r5mdg5gtkq.cloudfront.net/medpix/img/full/synpic58476.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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