facebook
/

regnet-y-10b-seer

Image Feature Extraction

Inference Endpoints

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nielsr HF staff commited on May 3, 2022

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578e13f

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@@ -32,8 +32,8 @@ Here is how to use this model:
 >>> dataset = load_dataset("huggingface/cats-image")
 >>> image = dataset["test"]["image"][0]
->>> feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/regnet-y-040")
->>> model = RegNetModel.from_pretrained("facebook/regnet-y-040")
 >>> inputs = feature_extractor(image, return_tensors="pt")

 >>> dataset = load_dataset("huggingface/cats-image")
 >>> image = dataset["test"]["image"][0]
+>>> feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/regnet-y-10b-seer")
+>>> model = RegNetModel.from_pretrained("facebook/regnet-y-10b-seer")
 >>> inputs = feature_extractor(image, return_tensors="pt")