Hugging Face for Natural Language Processing (NLP) Training Course

Introduction

• Overview of Natural Language Processing (NLP) and its applications in government operations.
• Introduction to Hugging Face and its key features for government use.

Setting up a Working Environment

• Installing and configuring Hugging Face tools for government applications.

Understanding the Hugging Face Transformers Library and Transformer Models

• Exploring the structure and functionalities of the Transformers library for government tasks.
• Overview of various Transformer models available in Hugging Face for government use.

Utilizing Hugging Face Transformers

• Loading and using pretrained models for government-specific NLP tasks.
• Applying Transformers to a range of NLP tasks relevant to public sector operations.

Fine-Tuning a Pretrained Model

• Preparing datasets for fine-tuning in government contexts.
• Fine-tuning a Transformer model on specific government-related tasks.

Sharing Models and Tokenizers

• Exporting and sharing trained models within government agencies.
• Utilizing tokenizers for text processing in government applications.

Exploring the Hugging Face Datasets Library

• Overview of the Datasets library in Hugging Face, tailored for government use.
• Accessing and utilizing pre-existing datasets relevant to public sector operations.

Exploring the Hugging Face Tokenizers Library

• Understanding tokenization techniques and their importance for government applications.
• Leveraging tokenizers from Hugging Face for efficient text processing in government tasks.

Carrying Out Classic NLP Tasks

• Implementing common NLP tasks using Hugging Face, including text classification, sentiment analysis, and named entity recognition for government purposes.

Leveraging Transformer Models for Addressing Tasks in Speech Processing and Computer Vision

• Extending the use of Transformers beyond text-based tasks to support government operations.
• Applying Transformers for speech and image-related tasks relevant to public sector needs.

Troubleshooting and Debugging

• Common issues and challenges in working with Hugging Face tools for government applications.
• Techniques for troubleshooting and debugging in a government context.

Building and Sharing Your Model Demos

• Designing and creating interactive model demos for government stakeholders.
• Sharing and showcasing your models effectively within government agencies.

Summary and Next Steps

• Recap of key concepts and techniques learned for government use.
• Guidance on further exploration and resources for continued learning in government NLP applications.