can you help me find VIT-H models from the Huggingface model repository?

Sure! I can help you find Vision Transformer (ViT) models from the Hugging Face model repository. Here's how you can do it using the `transformers` library:

1. First, make sure you have the `transformers` library installed. You can install it using the following command:

pip install transformers

2. Once you have the library installed, you can use the `AutoModel` and `AutoTokenizer` classes to load the ViT models and tokenizers from the Hugging Face model repository.

Here's an example code snippet to load a ViT model:

from transformers import AutoModel, AutoTokenizer

model_name = "google/vit-h-base-patch16-224"
model = AutoModel.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

In this example, we are loading the "google/vit-h-base-patch16-224" model, which is a ViT model with a base architecture and patch size of 16x16 pixels.

You can find more ViT models in the Hugging Face model repository by searching for models with "vit" in their names. For example, you can search for "vit-base", "vit-large", etc., depending on the specific ViT variant you are interested in.

Remember to refer to the Hugging Face documentation for more information on how to use and fine-tune these models for your specific task.