fix a typo in code snippet

#2
by fcakyon - opened
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -20,13 +20,13 @@ You can use the raw model for video classification into one of the 400 possible
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  Here is how to use this model to classify a video:
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  ```python
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- from transformers import TimesformerFeatureExtractor, TimesformerForVideoClassification
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  import numpy as np
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  import torch
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  video = list(np.random.randn(8, 3, 224, 224))
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- feature_extractor = TimesformerFeatureExtractor.from_pretrained("facebook/timesformer-base-finetuned-k400")
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  model = TimesformerForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400")
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  inputs = feature_extractor(video, return_tensors="pt")
 
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  Here is how to use this model to classify a video:
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  ```python
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+ from transformers import VideoMAEFeatureExtractor, TimesformerForVideoClassification
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  import numpy as np
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  import torch
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  video = list(np.random.randn(8, 3, 224, 224))
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+ feature_extractor = VideoMAEFeatureExtractor.from_pretrained("MCG-NJU/videomae-base-finetuned-kinetics")
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  model = TimesformerForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400")
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  inputs = feature_extractor(video, return_tensors="pt")