Sign-Language / README.md
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---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: Sign-Language
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 1.0
---
# Sign-Language
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
#### A
![A](images/A.jpg)
#### B
![B](images/B.jpg)
#### C
![C](images/C.jpg)
#### D
![D](images/D.jpg)
#### E
![E](images/E.jpg)
#### F
![F](images/F.jpg)
#### G
![G](images/G.jpg)
#### H
![H](images/H.jpg)
#### I
![I](images/I.jpg)
#### K
![K](images/K.jpg)
#### L
![L](images/L.jpg)
#### M
![M](images/M.jpg)
#### N
![N](images/N.jpg)
#### O
![O](images/O.jpg)
#### P
![P](images/P.jpg)
#### Q
![Q](images/Q.jpg)
#### R
![R](images/R.jpg)
#### S
![S](images/S.jpg)
#### T
![T](images/T.jpg)
#### U
![U](images/U.jpg)
#### V
![V](images/V.jpg)
#### W
![W](images/W.jpg)
#### X
![X](images/X.jpg)
#### Y
![Y](images/Y.jpg)