pytorch tensorboard vit image-classification transformers huggingpics model-index
---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy

model-index:
- name: fancy-animales
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9464285969734192
---

# fancy-animales

Just for fun and to test the template!

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


#### chow chow

![chow chow](images/chow_chow.jpg)

#### panda

![panda](images/panda.jpg)

#### penguin

![penguin](images/penguin.jpg)

#### sloth

![sloth](images/sloth.jpg)

#### wombat

![wombat](images/wombat.jpg)