readme: ---
  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)