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Coobiw
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ChartMoE_Reproduced

Image-Text-to-Text
Transformers
PyTorch
chartmoe
feature-extraction
custom_code
Model card Files
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  1. README.md +3 -8
  2. pytorch_model-00001-of-00002.bin +1 -1
  3. pytorch_model-00002-of-00002.bin +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- pipeline_tag: visual-question-answering
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  library_name: transformers
 
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  ---
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- <div align='center'>
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- <h1>This is a reproduction of ChartMoE according to its official github repo, which has better performance on ChartQA(with/without PoT).</h1>
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- </div>
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  <p align="center">
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- <b><font size="6">ChartMoE</font></b>
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- <p>
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- <p align="center">
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- <b><font size="4">ICLR2025 Oral </font></b>
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  <p>
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  <div align="center">
 
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  ---
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  license: apache-2.0
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+ pipeline_tag: image-text-to-text
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  library_name: transformers
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+ paper: https://arxiv.org/abs/2409.03277
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  ---
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  <p align="center">
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+ <b><font size="6">ChartMoE</font></b>
 
 
 
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  <p>
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  <div align="center">
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