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---
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