In the previous chapter, we saw how to use Hugging Face's transformers library. In this section, let's explore the following two other popular libraries for BERT:
- ktrain
- bert-as-service
Understanding ktrain
ktrain is a low-code library for augmented machine learning that was developed by Arun S. Maiya. It is a lightweight wrapper for Keras that makes it easier for us to build, train, and deploy deep learning models. It also includes several pre-trained models that make tasks such as text classification, summarization, question answering, translation, regression, and more easier. It is implemented using tf.keras. It includes several interesting functionalities, such as a learning rate finder, a learning rate scheduler, and others.
With ktrain, you can build a model in 3-5 lines of code, which the author calls low-code machine learning. Let's see how we can use ktrain.
Before going forward, let's install the ktrain library. It can be installed...
