A set of annotated Jupyter notebooks, that give user a template to fine-tune transformers model to downstream NLP tasks.
The objective of this tutorial is to provide a step by step guide to users to fine-tune transformers model on their dataset for downstream NLP tasks with ease. Making the phase of theory to Production easy and fast.
The tutorials cover following NLP tasks: 1. Classification 2. Summarization 3. Named Entity Recognition 4. Question Answering
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