---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy

model-index:
- name: VIT_Basic
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9107142686843872
---

# VIT_Basic


Autogenerated by HuggingPics🤗🖼️

Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).

Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).


## Example Images


#### chairs

![chairs](images/chairs.jpg)

#### hot dog

![hot dog](images/hot_dog.jpg)

#### ice cream

![ice cream](images/ice_cream.jpg)

#### ladders

![ladders](images/ladders.jpg)

#### tables

![tables](images/tables.jpg)