



# metrics:
# - accuracy

# model-index:
# - name: FacialEmoRecog
#  results:
 # - task:
  #    name: Image Classification
 #     type: image-classification
 # - metrics:
 #     name: Accuracy
  #    type: accuracy
   #   value: 0.9189583659172058

# FacialEmoRecog 
Create your own image classifier for **anything** by running this repo  

 ## Example Images
{"language": ["en"], "license": "mit", "tags": ["image CLassification", "pytorch"], "datasets": ["Jeneral/fer2013"], "metrics": ["accuracy"], "inference": true, "pipeline_tag": "image-classification"}
transformers pytorch vit image-classification image CLassification en dataset:Jeneral/fer2013 license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #vit #image-classification #image CLassification #en #dataset-Jeneral/fer2013 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 





# metrics:
# - accuracy

# model-index:
# - name: FacialEmoRecog
#  results:
 # - task:
  #    name: Image Classification
 #     type: image-classification
 # - metrics:
 #     name: Accuracy
  #    type: accuracy
   #   value: 0.9189583659172058

# FacialEmoRecog 
Create your own image classifier for anything by running this repo  

 ## Example Images
# metrics: # - accuracy # model-index: # - name: FacialEmoRecog #  results:
 # - task:
  #    name: Image Classification
 #     type: image-classification
 # - metrics:
 #     name: Accuracy
  #    type: accuracy
   #   value: 0.9189583659172058 # FacialEmoRecog 
Create your own image classifier for anything by running this repo  

 ## Example Images
TAGS
#transformers #pytorch #vit #image-classification #image CLassification #en #dataset-Jeneral/fer2013 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # metrics: # - accuracy # model-index: # - name: FacialEmoRecog #  results:
 # - task:
  #    name: Image Classification
 #     type: image-classification
 # - metrics:
 #     name: Accuracy
  #    type: accuracy
   #   value: 0.9189583659172058 # FacialEmoRecog 
Create your own image classifier for anything by running this repo  

 ## Example Images
passage: TAGS
#transformers #pytorch #vit #image-classification #image CLassification #en #dataset-Jeneral/fer2013 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# metrics:# - accuracy# model-index:# - name: FacialEmoRecog#  results:
 # - task:
  #    name: Image Classification
 #     type: image-classification
 # - metrics:
 #     name: Accuracy
  #    type: accuracy
   #   value: 0.9189583659172058# FacialEmoRecog 
Create your own image classifier for anything by running this repo  

 ## Example Images