facebook
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timesformer-base-finetuned-k400

Video Classification

Inference Endpoints

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nielsr HF staff commited on Dec 6, 2022

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@@ -26,7 +26,7 @@ import torch
 video = list(np.random.randn(8, 3, 224, 224))
-feature_extractor = AutoImageProcessor.from_pretrained("MCG-NJU/videomae-base-finetuned-kinetics")
 model = TimesformerForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400")
 inputs = feature_extractor(video, return_tensors="pt")

 video = list(np.random.randn(8, 3, 224, 224))
+feature_extractor = AutoImageProcessor.from_pretrained("facebook/timesformer-base-finetuned-k400")
 model = TimesformerForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400")
 inputs = feature_extractor(video, return_tensors="pt")