Add link to Cosmos Tokenizer README in NeMo Repository.
Browse files
README.md
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@@ -222,6 +222,8 @@ model = CausalVideoTokenizer.from_pretrained(model_name)
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input_tensor = torch.randn(1, 3, 9, 512, 512).to('cuda').to(torch.bfloat16)
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(latent, ) = model.encode(input_tensor)
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```
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# Evaluation
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input_tensor = torch.randn(1, 3, 9, 512, 512).to('cuda').to(torch.bfloat16)
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(latent, ) = model.encode(input_tensor)
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```
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Please see the [Cosmos Tokenizer README within the NeMo repository](https://github.com/NVIDIA/NeMo/tree/main/nemo/collections/common/video_tokenizers) for additional examples to create training datasets with the Cosmos Tokenizer.
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# Evaluation
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