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README.md

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multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
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We support various data formats for majority of NLI tasks and multiple transformer-based encoders (eg. BERT, Distil-BERT, ALBERT, RoBERTa, XLNET etc.)
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We support various data formats for majority of NLU tasks and multiple transformer-based encoders (eg. BERT, Distil-BERT, ALBERT, RoBERTa, XLNET etc.)
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For complete documentation for this library, please refer to [documentation](https://multi-task-nlp.readthedocs.io/en/latest/)
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## Quickstart Guide
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A quick guide to show how a single model can be trained for multiple NLI tasks in just 3 simple steps
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A quick guide to show how a model can be trained for single/multiple NLU tasks in just 3 simple steps
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and with **no requirement to code!!**
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Follow these 3 simple steps to train your multi-task model!

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