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@@ -17,7 +17,7 @@ The temporal information corresponding to the ordering of the video frames can't
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  The positional embeddings are added to the pre-computed CNN feature maps and finally fed as input to the Transformer Encoder.
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- The has nearly 4.23 million parameters. It works best with large datasets and longer training schedules.
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  ## Intended uses
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  The positional embeddings are added to the pre-computed CNN feature maps and finally fed as input to the Transformer Encoder.
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+ The final model has nearly 4.23 million parameters. It works best with large datasets and longer training schedules.
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  ## Intended uses
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