Update README.md

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Niels Rogge 2022-12-06 09:56:11 +00:00 committed by huggingface-web
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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:
```python
from transformers import VideoMAEFeatureExtractor, TimesformerForVideoClassification
from transformers import AutoImageProcessor, TimesformerForVideoClassification
import numpy as np
import torch
video = list(np.random.randn(8, 3, 224, 224))
feature_extractor = VideoMAEFeatureExtractor.from_pretrained("MCG-NJU/videomae-base-finetuned-kinetics")
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")