
# Check_Gum_Teeth


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


#### Bad_Gum

![Bad_Gum](images/Bad_Gum.jpg)

#### Good_Gum

![Good_Gum](images/Good_Gum.jpg)
{"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]}
transformers pytorch tensorboard vit image-classification huggingpics model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us 


# Check_Gum_Teeth


Autogenerated by HuggingPics️

Create your own image classifier for anything by running the demo on Google Colab.

Report any issues with the demo at the github repo.


## Example Images


#### Bad_Gum

!Bad_Gum

#### Good_Gum

!Good_Gum
# Check_Gum_Teeth


Autogenerated by HuggingPics️

Create your own image classifier for anything by running the demo on Google Colab.

Report any issues with the demo at the github repo. ## Example Images #### Bad_Gum

!Bad_Gum #### Good_Gum

!Good_Gum
TAGS
#transformers #pytorch #tensorboard #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us 
 # Check_Gum_Teeth


Autogenerated by HuggingPics️

Create your own image classifier for anything by running the demo on Google Colab.

Report any issues with the demo at the github repo. ## Example Images #### Bad_Gum

!Bad_Gum #### Good_Gum

!Good_Gum
passage: TAGS
#transformers #pytorch #tensorboard #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us 
# Check_Gum_Teeth


Autogenerated by HuggingPics️

Create your own image classifier for anything by running the demo on Google Colab.

Report any issues with the demo at the github repo.## Example Images#### Bad_Gum

!Bad_Gum#### Good_Gum

!Good_Gum