In this video, I provide a high-level overview of Keras NLP as an alternative to Huggingface. We'll dive into the core modules: Tokenizer, Preprocessor, Backbone, and Classifier/LLM. I'll walk you through three practical code examples, two of which leverage the .from_preset method and one that doesn't. Whether you're familiar with Huggingface or new to NLP frameworks, this video offers insights into how Keras NLP can enhance your machine learning projects. Don't forget to like, share, and subscribe for more in-depth tutorials!
Package Versions:
Python: 3.11
keras-nlp: 0.14.4
keras: 3.5.0
jax: 0.4.31
Script used in the video can be found here:
https://gitlab.com/Nayan.1989/youtube...
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