google
/

siglip-so400m-patch14-384

Zero-Shot Image Classification

Inference Endpoints

Model card Files Files and versions Community

nielsr HF staff commited on Jan 19

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8cd1ec3

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1 Parent(s): 538da78

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@@ -44,7 +44,7 @@ url = "http://images.cocodataset.org/val2017/000000039769.jpg"
 image = Image.open(requests.get(url, stream=True).raw)
 texts = ["a photo of 2 cats", "a photo of 2 dogs"]
-inputs = processor(text=texts, images=image, return_tensors="pt")
 with torch.no_grad():
     outputs = model(**inputs)

 image = Image.open(requests.get(url, stream=True).raw)
 texts = ["a photo of 2 cats", "a photo of 2 dogs"]
+inputs = processor(text=texts, images=image, padding="max_length", return_tensors="pt")
 with torch.no_grad():
     outputs = model(**inputs)