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  ---
 
 
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  tags:
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  - model_hub_mixin
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  - pytorch_model_hub_mixin
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- license: apache-2.0
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  ---
 
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  # Communication-Inspired Tokenization for Structured Image Representations
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- </h1>
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- <p align="left">
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  <a href="https://araachie.github.io">Aram Davtyan</a> •
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  <a href="https://www.cvg.unibe.ch/people/sahin">Yusuf Sahin</a> •
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  <a href="https://people.epfl.ch/yasaman.haghighi?lang=en">Yasaman Haghighi</a> •
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  <a href="https://www.cvg.unibe.ch/people/acuaviva">Pablo Acuaviva</a> •
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  <a href="https://people.epfl.ch/alexandre.alahi?lang=en">Alexandre Alahi</a> •
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  <a href="https://www.cvg.unibe.ch/people/favaro">Paolo Favaro</a>
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- </p>
 
 
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- Official pre-trained models for the paper: https://arxiv.org/abs/2602.20731
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- Project's website: https://araachie.github.io/comit/
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-
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  ## Installation
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- Follow the instructions at https://github.com/Araachie/comit
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  ## Usage
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  Example usage, downloading `COMiT-B` from the Hugging Face Hub:
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  ```python
 
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  from comit import COMiT
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  model = COMiT.from_pretrained('cvg-unibe/comit-b')
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  model.eval().to(device)
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  ```
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  ## Licensing
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  Unless otherwise noted, the model weights are licensed under Apache license 2.0.
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- For the code licensing, see https://github.com/Araachie/comit?tab=readme-ov-file#licensing
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  ## Citation
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  ---
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+ license: apache-2.0
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+ pipeline_tag: image-feature-extraction
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  tags:
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  - model_hub_mixin
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  - pytorch_model_hub_mixin
 
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  ---
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+
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  # Communication-Inspired Tokenization for Structured Image Representations
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+
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+ <p align="left">
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  <a href="https://araachie.github.io">Aram Davtyan</a> •
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  <a href="https://www.cvg.unibe.ch/people/sahin">Yusuf Sahin</a> •
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  <a href="https://people.epfl.ch/yasaman.haghighi?lang=en">Yasaman Haghighi</a> •
 
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  <a href="https://www.cvg.unibe.ch/people/acuaviva">Pablo Acuaviva</a> •
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  <a href="https://people.epfl.ch/alexandre.alahi?lang=en">Alexandre Alahi</a> •
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  <a href="https://www.cvg.unibe.ch/people/favaro">Paolo Favaro</a>
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+ </p>
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+
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+ Official pre-trained models for the paper: [Communication-Inspired Tokenization for Structured Image Representations](https://arxiv.org/abs/2602.20731).
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+ [[Website](https://araachie.github.io/comit/)] [[Code](https://github.com/Araachie/comit)] [[Paper](https://arxiv.org/abs/2602.20731)]
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  ## Installation
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+ Follow the instructions at [https://github.com/Araachie/comit](https://github.com/Araachie/comit)
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  ## Usage
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  Example usage, downloading `COMiT-B` from the Hugging Face Hub:
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  ```python
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+ import torch
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  from comit import COMiT
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+ device = "cuda" if torch.cuda.is_available() else "cpu"
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  model = COMiT.from_pretrained('cvg-unibe/comit-b')
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  model.eval().to(device)
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  ```
 
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  ## Licensing
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  Unless otherwise noted, the model weights are licensed under Apache license 2.0.
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+ For the code licensing, see [https://github.com/Araachie/comit?tab=readme-ov-file#licensing](https://github.com/Araachie/comit?tab=readme-ov-file#licensing)
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  ## Citation
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