Instructions to use nvidia/Cosmos-Tokenize1-CI8x8-360p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos-Tokenize1-CI8x8-360p with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -109,8 +109,8 @@ Our tokenizers come in two types: **Continuous** (C) and **Discrete** (D), each
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| | Continuous ( C ) | Discrete ( D ) |
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| **Images ( I )** | Cosmos-
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| **Videos ( V )** | Cosmos-
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**Model**: [Cosmos-Tokenize1-CI8x8-360p](https://huggingface.co/nvidia/Cosmos-Tokenize1-CI8x8-360p), a continuous image tokenizer with 8x8 spatial compression rate.
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| | Continuous ( C ) | Discrete ( D ) |
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| **Images ( I )** | Cosmos-Tokenize-CI | Cosmos-Tokenize-DI |
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| **Videos ( V )** | Cosmos-Tokenize-CV | Cosmos-Tokenize-DV |
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**Model**: [Cosmos-Tokenize1-CI8x8-360p](https://huggingface.co/nvidia/Cosmos-Tokenize1-CI8x8-360p), a continuous image tokenizer with 8x8 spatial compression rate.
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