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--- |
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license: apache-2.0 |
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datasets: |
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- sitloboi2012/rvl_cdip_small_dataset |
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- sitloboi2012/rvl_cdip_large_dataset |
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language: |
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- en |
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metrics: |
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- accuracy |
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library_name: transformers |
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pipeline_tag: image-to-text |
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tags: |
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- DocumentAI |
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- ImageClassification |
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- Donut |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model card aims to be a baseline model for using RVL-CDIP with Donut. The model has been trained on small scale dataset of RVL-CDIP (specically 100 images from this dataset). |
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## Model Details |
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The model using Donut with VisionEncoderDecoder and Transformers as the backbone model for an end-to-end Document Classification task |
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### Downstream Use [optional] |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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This model can be use for fine-tuning task related Document Classification in different area like Food Document, Financial Document, etc. |
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For further task downstream fine-tune, please related to the orignal model from Naver. |
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