fal/cosmos-openvid-1m

Cosmos-Tokenized OpenVid-1M Cosmos-Tokenized OpenVid-1M How to use Shards are stored in parquet format. It has 4 columns: serialized_latent, caption, fps, video. serialized_latent is the latent vector of the video, serialized using torch.save(). Please use the following function to deserialize it:def deserialize_tensor( serialized_tensor: bytes, device: Optional[str] = None ) -> torch.Tensor: return torch.load( io.BytesIO(serialized_tensor)… See the full description on the dataset page: https://huggingface.co/datasets/fal/cosmos-openvid-1m.

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