readme: ## Bert-base-uncased for Android-Ios Question Classification
  
  **Code**: See [Ainize Workspace](https://ainize.ai/workspace/create?imageId=hnj95592adzr02xPTqss&git=https://github.com/EastHShin/Android-Ios-Classification-Workspace)
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  **Android-Ios-Classification DEMO**: [Ainize Endpoint](https://main-android-ios-classification-east-h-shin.endpoint.ainize.ai/)
  <br>
  **Demo web Code**: [Github](https://github.com/EastHShin/Android-Ios-Classification)
  <br>
  **Android-Ios-Classification API**: [Ainize API](https://ainize.ai/EastHShin/Android-Ios-Classification)
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  <br>
  ## Overview
  **Language model**: bert-base-cased
  <br>
  **Language**: English
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  **Training data**: Question classification Android-Ios dataset from [Kaggle](https://www.kaggle.com/xhlulu/question-classification-android-or-ios)
  
  
  ## Usage
  
  ```
  from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
  
  model_path = "EasthShin/Android_Ios_Classification"
  
  tokenizer = AutoTokenizer.from_pretrained(model_path)
  model = AutoModelForSequenceClassification.from_pretrained(model_path)
  
  classifier = pipeline('text-classification', model=model_path, tokenizer=tokenizer)
  
  question = "I bought goodnote in Appstore"
  
  result = dict()
  result[0] = classifier(question)[0]
  ```