Applied AI: Hugging Face Transformers Tutorial | Sentiment Analysis with BERT & Pipelines
Learn Hugging Face Transformers with Sentiment Analysis — Step-by-Step
In this hands-on tutorial, we explore Hugging Face, its models, datasets, and pipelines, then build a sentiment analysis app using the BERT model.
What you will learn:
What Hugging Face is (models, datasets, and pipelines)
How to use the transformers library
Explore supported pipeline tasks
Run sentiment analysis with the default pipeline
Use a custom model from the Hugging Face Hub (BERTweet)
Tips for caching, downloading, and running models locally
By the end of this video, you will understand how to work with Hugging Face pipelines and run NLP models in just a few lines of Python.
Resources and Links:
Code: https://colab.research.google.com/dri...
Hugging Face Hub: https://huggingface.co
Transformers Documentation: https://huggingface.co/docs/transformers