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@@ -11,23 +11,6 @@ base_model: microsoft/resnet-50
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  pipeline_tag: image-classification
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- # Amazing!
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- 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
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- # Some next steps
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- 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
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- 2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
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- 3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
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- Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
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- ---
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  # Model card
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  ## Model description
@@ -51,4 +34,5 @@ this model will identify diabetic retinopathy on a scale of 0 to 4:
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  ## Training and evaluation data
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  * We trained our model with retina images taken using fundus photography under a variety of imaging conditions.
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  * The training data was gathered for a Kaggle completion by the Asia Pacific Tele-Ophthalmology Society (APTOS) in 2019
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- * [Training data](https://www.kaggle.com/competitions/aptos2019-blindness-detection/data)
 
 
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  pipeline_tag: image-classification
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  # Model card
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  ## Model description
 
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  ## Training and evaluation data
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  * We trained our model with retina images taken using fundus photography under a variety of imaging conditions.
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  * The training data was gathered for a Kaggle completion by the Asia Pacific Tele-Ophthalmology Society (APTOS) in 2019
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+ * [Training data](https://www.kaggle.com/competitions/aptos2019-blindness-detection/data)
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+ * [Training Process](https://www.kaggle.com/code/josemauriciodelgado/proliferative-retinopathy)