---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
- Precision
- Recall
- F1Score

model-index:
- name: ArSL VIT 
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9934656620025635
      - name: Precision
        type: Precision
        value: 0.9939382672309875
      - name: Recall
        type: Recall
        value: 0.9934656620025635
      - name: F1Score
        type: F1Score
        value: 0.9933341145515442
---

# ArSL VIT 


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