Large Language Models (Using Huggingface) Course Outline
Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.
In this 3-day developer class on working with Large Language Models, we will show you how to use Transformers in Natural Language Processing and leverage the capabilities available on Huggingface.
You'll learn how transformer models work and their limitations, as well as how to fine-tune a pre-trained model using the Trainer API or Keras. We'll cover sharing models and tokenizers on the Hugging Face Hub and how to create your own dataset and perform a semantic search with FAISS using the Datasets library.
Join us for an interactive 3-day journey into the world of Large Language Models with Huggingface, and take your Natural Language Processing projects to the next level.
Natural Language Processing
Transformers, what can they do?
How do Transformers work?
Bias and limitations
Behind the pipeline
Handling multiple sequences
Putting it all together
FINE-TUNING A PRE-TRAINED MODEL
Processing the data
Fine-tuning a model with the Trainer API or Keras
A full training
SHARING MODELS AND TOKENIZERS
The Hugging Face Hub
Using pre-trained models
Sharing pre-trained models
Building a model card
Part 1 completed!
THE DATASETS LIBRARY
What if my dataset isn't on the Hub?
Time to slice and dice
Big data? Datasets to the rescue!
Creating your own dataset
Semantic search with FAISS
View outline in Word
Attend hands-on, instructor-led Large Language Models (Using Huggingface) training classes at ONLC's more than 300 locations.
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For additional training options, check out our list of ML & AI Courses and select the one that's right for you.