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@@ -46,8 +46,8 @@ Here is how to use this model:
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  >>> dataset = load_dataset("huggingface/cats-image")
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  >>> image = dataset["test"]["image"][0]
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- >>> feature_extractor = AutoFeatureExtractor.from_pretrained("zuppif/regnet-y-040")
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- >>> model = RegNetForImageClassification.from_pretrained("zuppif/regnet-y-040")
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  >>> inputs = feature_extractor(image, return_tensors="pt")
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@@ -60,6 +60,4 @@ Here is how to use this model:
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  'tabby, tabby cat'
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  ```
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-
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-
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  For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/regnet).
 
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  >>> dataset = load_dataset("huggingface/cats-image")
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  >>> image = dataset["test"]["image"][0]
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+ >>> feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/regnet-y-040")
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+ >>> model = RegNetForImageClassification.from_pretrained("facebook/regnet-y-040")
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  >>> inputs = feature_extractor(image, return_tensors="pt")
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  'tabby, tabby cat'
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  ```
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  For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/regnet).