Create README.md

README.md

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+## 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)
+<br>
+**Android-Ios-Classification DEMO**: [Ainize Endpoint](https://main-android-ios-classification-east-h-shin.endpoint.ainize.ai/)
+<br>
+**Android-Ios-Classification API**: [Ainize API](https://ainize.ai/EastHShin/Android-Ios-Classification)
+<br>
+<br>
+## Overview
+**Language model**: bert-base-cased
+**Language**: English
+**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]
+```