Mastering Hugging Face Transformers

Mastering Hugging Face Transformers

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