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siglip-base-patch16-224

Zero-Shot Image Classification
Transformers
PyTorch
Safetensors
siglip
vision
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xet
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nielsr HF Staff commited on
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Update README.md

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@@ -35,8 +35,8 @@ import requests
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  from transformers import AutoProcessor, AutoModel
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  import torch
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- model = AutoModel.from_pretrained("google/siglip-base-patch16-256")
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- processor = AutoProcessor.from_pretrained("google/siglip-base-patch16-256")
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  url = "http://images.cocodataset.org/val2017/000000039769.jpg"
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  image = Image.open(requests.get(url, stream=True).raw)
 
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  from transformers import AutoProcessor, AutoModel
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  import torch
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+ model = AutoModel.from_pretrained("google/siglip-base-patch16-224")
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+ processor = AutoProcessor.from_pretrained("google/siglip-base-patch16-224")
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  url = "http://images.cocodataset.org/val2017/000000039769.jpg"
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  image = Image.open(requests.get(url, stream=True).raw)