Instructions to use EasthShin/Android_Ios_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EasthShin/Android_Ios_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EasthShin/Android_Ios_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EasthShin/Android_Ios_Classification") model = AutoModelForSequenceClassification.from_pretrained("EasthShin/Android_Ios_Classification") - Notebooks
- Google Colab
- Kaggle
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## Overview
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**Language model**: bert-base-cased
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**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)
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## Overview
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**Language model**: bert-base-cased
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**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)
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