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@@ -21,13 +21,13 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.90
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  - name: Top-5 Accuracy
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  type: top-5-accuracy
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  value: 0.95
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  ---
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- # I3D Kinetics-400
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  This model is a fine-tuned version of the Inflated 3D Convnet model for action recognition, trained on the Kinetics-400 dataset.
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@@ -52,7 +52,7 @@ The model achieves an accuracy of 90% and a top-5 accuracy of 95% on the UCF101
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  ```python
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  from transformers import pipeline
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- model = pipeline("video-classification", model="Mouwiya/i3d-kinetics-400")
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  # Example video path
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  video_path = "path_to_your_video.mp4"
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.98
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  - name: Top-5 Accuracy
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  type: top-5-accuracy
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  value: 0.95
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  ---
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+ # I3D Kinetics-600
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  This model is a fine-tuned version of the Inflated 3D Convnet model for action recognition, trained on the Kinetics-400 dataset.
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  ```python
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  from transformers import pipeline
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+ model = pipeline("video-classification", model="Mouwiya/i3d-kinetics-600")
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  # Example video path
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  video_path = "path_to_your_video.mp4"