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ViTForImageClassification

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Inference Endpoints
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  metrics:
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  - accuracy
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  model-index:
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- - name: vitforimcls
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # vitforimcls
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the [CIFAR10](https://huggingface.co/datasets/Andron00e/CIFAR10-custom) dataset.
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  It achieves the following results on the evaluation set:
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: ViTForImageClassification
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # ViTForImageClassification
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the [CIFAR10](https://huggingface.co/datasets/Andron00e/CIFAR10-custom) dataset.
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  It achieves the following results on the evaluation set: