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- ---
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- license: other
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- license_name: nvclv1
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- license_link: LICENSE
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: other
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+ license_name: nvclv1
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+ license_link: LICENSE
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+ datasets:
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+ - ILSVRC/imagenet-1k
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+ pipeline_tag: image-classification
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+ ---
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+
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+
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+ [**MambaVision: A Hybrid Mamba-Transformer Vision Backbone**](https://arxiv.org/abs/2407.08083).
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+
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+ ### Model Overview
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+ We introduce a novel mixer block by creating a symmetric path without SSM to enhance the modeling of global context. MambaVision has a hierarchical architecture that employs both self-attention and mixer blocks.
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+
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+ ### Model Performance
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+
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+ MambaVision demonstrates a strong performance by achieving a new SOTA Pareto-front in
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+ terms of Top-1 accuracy and throughput.
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+
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+ <p align="center">
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+ <img src="https://github.com/NVlabs/MambaVision/assets/26806394/79dcf841-3966-4b77-883d-76cd5e1d4320" width=42% height=42%
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+ class="center">
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+ </p>
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+
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+
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+ ### Model Usage
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+
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+ You must first login into HuggingFace to pull the model:
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+
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+ ```Bash
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+ huggingface-cli login
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+ ```
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+
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+ The model can be simply used according to:
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+
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+ ```Python
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+ access_token = "<YOUR ACCESS TOKEN"
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+ model = AutoModel.from_pretrained("nvidia/MambaVision-S-1K", trust_remote_code=True)
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+ ```
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+
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+
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+ ### License:
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+
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+ [NVIDIA Source Code License-NC](https://huggingface.co/nvidia/MambaVision-S-1K/blob/main/LICENSE)
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