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README.md
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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("
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>>> model = RegNetForImageClassification.from_pretrained("
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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).
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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-x-040")
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>>> model = RegNetForImageClassification.from_pretrained("facebook/regnet-x-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).
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