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@@ -11,6 +11,8 @@ This is the model implementation of the CVPR 2024 'Sequential Modeling Enables S
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LVM is a vision pretraining model that converts various kinds of visual data into visual sentences and performs next-token prediction autoregressively. It is compatible with both GPU and TPU.
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LVM is built on top of [OpenLLaMA](https://github.com/openlm-research/open_llama) (an autoregressive model) and [OpenMuse](https://github.com/huggingface/open-muse) (a VQGAN that converts images into visual tokens).
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This was trained in collaboration with HuggingFace. Thanks [Victor Sanh](https://huggingface.co/VictorSanh) for the support in this project.
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LVM is a vision pretraining model that converts various kinds of visual data into visual sentences and performs next-token prediction autoregressively. It is compatible with both GPU and TPU.
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You can try out the demo [here](https://huggingface.co/spaces/Emma02/LVM).
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LVM is built on top of [OpenLLaMA](https://github.com/openlm-research/open_llama) (an autoregressive model) and [OpenMuse](https://github.com/huggingface/open-muse) (a VQGAN that converts images into visual tokens).
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This was trained in collaboration with HuggingFace. Thanks [Victor Sanh](https://huggingface.co/VictorSanh) for the support in this project.
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