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Using Huggingface for Specialized Models and Fine-tuning Course

Class Dates
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(click Enroll for locations)
4/27-4/29
Class Dates and Times
04/27/2026Monday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
04/28/2026Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
04/29/2026Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT

Early Notice Class
Early Notice classes have enrollments that suggest that the class will run as scheduled.
Last Reg Date4/22
 
5/26-5/28
Class Dates and Times
05/26/2026Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
05/27/2026Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
05/28/2026Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT

Early Notice Class
Early Notice classes have enrollments that suggest that the class will run as scheduled.
 
6/22-6/24
Class Dates and Times
06/22/2026Monday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
06/23/2026Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
06/24/2026Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
7/22-7/24
Class Dates and Times
07/22/2026Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
07/23/2026Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
07/24/2026Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
8/26-8/28
Class Dates and Times
08/26/2026Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
08/27/2026Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
08/28/2026Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
9/21-9/23
Class Dates and Times
09/21/2026Monday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
09/22/2026Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
09/23/2026Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
Fee:  $1495

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  1. Home
  2. Courses
  3. ML & AI
  4. Using Huggingface for Specialized Models and Fine-tuning

Using Huggingface for Specialized Models and Fine-tuning Course

 

Overview

This two-day, hands-on course introduces participants to the Hugging Face ecosystem, equipping them with practical skills to find, run, fine-tune, and deploy pre-trained models for real-world applications. Through guided exercises, attendees will explore NLP, vision, and audio models, learn the fundamentals of fine-tuning, and deploy their own models using Hugging Face Spaces.

The course covers the full workflow—from navigating the Hugging Face Hub to preparing datasets, customizing models, and optimizing deployments—ensuring participants gain both conceptual understanding and practical coding experience. By the end of the program, learners will have built and deployed functional AI applications they can adapt for their own projects.

Prerequisites

Basic Python knowledge is required. Familiarity with Jupyter or Google Colab is recommended but not required.

COURSE OUTLINE

Welcome & Course Orientation

  • Instructor and participant introductions
  • Course goals and objectives
  • Hugging Face at a glance: the “GitHub of AI”
  • Overview of the Hugging Face ecosystem: Hub, Transformers, Datasets, Spaces
  • Software setup check and Colab/Jupyter introduction

Hugging Face Hub Tour

  • Navigating the Hub: search, filters, and model cards
  • Popular tasks: NLP, vision, audio, multimodal
  • Understanding model tags, licenses, and intended use
  • Cloning repositories and downloading models locally

Getting Started with Pipelines

  • What is a pipeline?
  • Running a sentiment analysis model in 5 lines of code
  • Other built-in pipelines: summarization, translation, question answering
  • Parameters and customization options
  • Performance considerations

Practical Text-Based Use Cases

  • Zero-shot classification
  • Summarization and translation
  • Question answering over custom text
  • Hands-on: building a small “document query” notebook

Beyond Text: Vision & Audio Models

  • Image classification with ViT
  • Image generation with diffusers (Stable Diffusion Lite)
  • Speech-to-text with Whisper models
  • Hands-on: choose and run one vision or audio task

Customizing Pre-Trained Models

  • Changing model configurations
  • Tokenizer tweaks and preprocessing techniques
  • Using pipelines vs. model/tokenizer API directly
  • Exporting and reusing code for automation

Building & Sharing a Demo with Hugging Face Spaces

  • Spaces overview: Gradio and Streamlit
  • Creating a simple interface for a pre-trained model
  • Uploading to Spaces for public or private sharing

Fine-Tuning Fundamentals

  • Why fine-tune? Benefits over training from scratch
  • Parameter-efficient fine-tuning (LoRA, QLoRA)
  • Overview of the Trainer API
  • Using the `peft` library for LoRA-based tuning

Preparing Your Dataset

  • Using the datasets library
  • Loading public datasets from the Hub
  • Cleaning and tokenizing text
  • Train/test splits and evaluation metrics

Hands-On Fine-Tuning (Text Model)

  • Selecting a small model (e.g., DistilBERT)
  • Setting training arguments in Trainer
  • Running fine-tuning in Colab
  • Monitoring training progress
  • Saving and evaluating the model

Publishing to the Hugging Face Hub

  • Creating a model card
  • Uploading model weights and metadata
  • Versioning and setting permissions

Deployment Pathways

  • Inference API basics
  • Using Spaces for deployment
  • Integrating models into Python or JavaScript applications
  • Example: deploy fine-tuned sentiment classifier to Spaces

Optimization & Best Practices

  • Reducing model size for faster inference
  • Using quantization and pruning techniques
  • Keeping models updated
  • Managing costs in production environments

 

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Attend hands-on, instructor-led Using Huggingface for Specialized Models and Fine-tuning training classes at ONLC's nationwide locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of ML & AI Courses and select the one that's right for you.

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