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timesformer-base-finetuned-k400
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fix a typo in code snippet (#2) 

- fix a typo in code snippet (1dda034dcd582d8543274e87bb9602ce4ec99c94)


Co-authored-by: Fatih <fcakyon@users.noreply.huggingface.co>
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Niels Rogge 2022-12-06 08:17:10 +00:00 committed by system
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@ -20,13 +20,13 @@ You can use the raw model for video classification into one of the 400 possible
Here is how to use this model to classify a video: Here is how to use this model to classify a video:
```python ```python
from transformers import TimesformerFeatureExtractor, TimesformerForVideoClassification from transformers import VideoMAEFeatureExtractor, TimesformerForVideoClassification
import numpy as np import numpy as np
import torch import torch
video = list(np.random.randn(8, 3, 224, 224)) video = list(np.random.randn(8, 3, 224, 224))
feature_extractor = TimesformerFeatureExtractor.from_pretrained("facebook/timesformer-base-finetuned-k400") feature_extractor = VideoMAEFeatureExtractor.from_pretrained("MCG-NJU/videomae-base-finetuned-kinetics")
model = TimesformerForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400") model = TimesformerForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400")
inputs = feature_extractor(video, return_tensors="pt") inputs = feature_extractor(video, return_tensors="pt")