Mastering Hugging Face Transformers

Date Created
14/11/2024

This course provides a comprehensive guide to Hugging Face Transformers, covering everything from installation to advanced topics like fine-tuning and deploying models. You'll learn how to use pretrained models, handle NLP tasks, and optimize performance for real-world applications.

What you will learn -

Introduction to Hugging Face Transformers
Getting Started with Hugging Face
Understanding Transformer Architecture
Leveraging Pretrained Models in Hugging Face for Python
Demystifying Tokenization in Hugging Face
Streamlining Your Workflow
Fine-Tuning Pretrained Models with Hugging Face Transformers in Python
Mastering Sequence Classification with Transformers in Python
Supercharging Named Entity Recognition with Transformers in Python
Unlocking Question Answering with Transformers in Python
Unleashing the Power of Text Generation with Transformers in Python
Unlocking Multilingual Power
Unlocking the Power of Text Summarization with Hugging Face Transformers in Python
Unlocking the Power of Custom Datasets with Hugging Face Datasets Library
Managing Model Outputs and Predictions in Hugging Face Transformers
Exploring Hugging Face Model Hub and Community
Unleashing the Power of Transformers for NLP Tasks with Python and Hugging Face
Training Transformers from Scratch
Deploying NLP Models with Hugging Face Inference API
Best Practices for Optimizing Transformer Models with Hugging Face