Create Read.me

README.md

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+---
+license: apache-2.0
+tags:
+  - vision
+  - image-classification
+  - fine-tuning
+  - transformer
+  - vit
+datasets:
+  - cifar10
+  - imagenet
+metrics:
+  - accuracy
+  - f1
+---
+
+# Vision Transformer Fine-tuned on CIFAR-10
+
+This model is a Vision Transformer (ViT) fine-tuned on the CIFAR-10 dataset for image classification.
+
+## Model Description
+The model was trained on the CIFAR-10 dataset, which consists of 60,000 32x32 color images in 10 classes, with 6,000 images per class. The fine-tuning was performed on the pretrained ViT base model.
+
+## Intended Use
+This model is intended for image classification tasks.
+
+## How to Use
+```python
+from transformers import pipeline
+
+classifier = pipeline('image-classification', model='your-username/your-model-name')
+results = classifier('path/to/your/image.jpg')
+print(results)