Super easy library for BERT based NLP models with python

Fast-Bert

Supports LAMB optimizer for faster training. Please refer to https://arxiv.org/abs/1904.00962 for the paper on LAMB optimizer.

Supports BERT and XLNet for both Multi-Class and Multi-Label text classification.

Fast-Bert is the deep learning library that allows developers and data scientists to train and deploy BERT and XLNet based models for natural language processing tasks beginning with Text Classification.

The work on FastBert is built on solid foundations provided by the excellent Hugging Face BERT PyTorch library and is inspired by fast.ai and strives to make the cutting edge deep learning technologies accessible for the vast community of machine learning practitioners.

With FastBert, you will be able to:

1. Train (more precisely fine-tune) BERT, RoBERTa and XLNet text classification models on your custom dataset.

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