
Google didn't publish vit-tiny and vit-small model checkpoints in Hugging Face. I converted the weights from the [timm repository](https://github.com/rwightman/pytorch-image-models). This model is used in the same way as [ViT-base](https://huggingface.co/google/vit-base-patch16-224).

Note that [safetensors] model requires torch 2.0 environment.
{"license": "apache-2.0", "tags": ["vision", "image-classification"], "datasets": ["imagenet"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "example_title": "Teapot"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg", "example_title": "Palace"}]}
transformers pytorch safetensors vit image-classification vision dataset:imagenet license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #vit #image-classification #vision #dataset-imagenet #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


Google didn't publish vit-tiny and vit-small model checkpoints in Hugging Face. I converted the weights from the timm repository. This model is used in the same way as ViT-base.

Note that [safetensors] model requires torch 2.0 environment.
TAGS
#transformers #pytorch #safetensors #vit #image-classification #vision #dataset-imagenet #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #safetensors #vit #image-classification #vision #dataset-imagenet #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
