---
tags:
- vit
- adapter-transformers
datasets:
- cifar100
---

# Adapter `julian-fong/cifar100-adapterplus_config` for google/vit-base-patch16-224-in21k

An [adapter](https://adapterhub.ml) for the `google/vit-base-patch16-224-in21k` model that was trained on the [cifar100](https://huggingface.co/datasets/cifar100/) dataset and includes a prediction head for image classification.

This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.

## Usage

First, install `adapters`:

```
pip install -U adapters
```

Now, the adapter can be loaded and activated like this:

```python
from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("google/vit-base-patch16-224-in21k")
adapter_name = model.load_adapter("julian-fong/cifar100-adapterplus_config", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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