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Update model card title

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  1. README.md +2 -2
README.md CHANGED
@@ -20,7 +20,7 @@ metrics:
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  base_model: timm/tf_efficientnetv2_s.in21k_ft_in1k
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  base_model_relation: finetune
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  model-index:
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- - name: Yazlab6 EfficientNetV2-S Car Body Classifier
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  results:
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  - task:
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  type: image-classification
@@ -41,7 +41,7 @@ model-index:
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  name: Test Weighted F1
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  ---
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- # Yazlab6 EfficientNetV2-S Car Body Classifier
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  This repository contains a PyTorch/timm EfficientNetV2-S image classifier for 8 vehicle body types. The model predicts one of `SUV`, `VAN`, `STATION_WAGON`, `MICRO`, `ACIK_TEKERLEKLI_F1_ARACLARI`, `SEDAN`, `HATCHBACK`, or `PICK_UP` from a single RGB vehicle image.
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  base_model: timm/tf_efficientnetv2_s.in21k_ft_in1k
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  base_model_relation: finetune
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  model-index:
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+ - name: EfficientNetV2-S Car Body Classifier
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  results:
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  - task:
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  type: image-classification
 
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  name: Test Weighted F1
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  ---
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+ # EfficientNetV2-S Car Body Classifier
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  This repository contains a PyTorch/timm EfficientNetV2-S image classifier for 8 vehicle body types. The model predicts one of `SUV`, `VAN`, `STATION_WAGON`, `MICRO`, `ACIK_TEKERLEKLI_F1_ARACLARI`, `SEDAN`, `HATCHBACK`, or `PICK_UP` from a single RGB vehicle image.
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