PyTorch Transformers Tutorials
A set of annotated Jupyter notebooks, that give user a template to fine-tune transformers model to downstream NLP tasks such as classification, NER etc.
transformers text-classification text-summarization named-entity-recognition question-answering pytorch huggingface wandb natural-language-processing tutorial code
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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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Eat, Sleep, Pray, and Code * An Operations Innovation Lead at IHS Markit during working hours. * Love to read manga and cook new cuisines.
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