This article provides a comprehensive guide on the basics of BERT (Bidirectional Encoder Representations from Transformers) models. It covers the architecture, use cases, and practical implementations, helping readers understand how to leverage BERT for natural language processing tasks.
A detailed guide on creating a text classification model with Hugging Face's transformer models, including setup, training, and evaluation steps.
A Github Gist containing a Python script for text classification using the TxTail API
