VIT_Basic / README.md
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---
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)