HuggingFace Crash Course - Sentiment Analysis, Model Hub, Fine Tuning
Offered By: Python Engineer via YouTube
Course Description
Overview
Dive into a comprehensive tutorial on HuggingFace and the Transformers library, covering essential topics like sentiment analysis pipelines, the Model Hub, and fine-tuning models. Learn to implement powerful NLP pipelines using state-of-the-art models, explore PyTorch integration for classification tasks, and discover techniques for saving and loading models. Gain hands-on experience with the Model Hub and master the process of fine-tuning models for specific tasks. Perfect for developers looking to enhance their skills in natural language processing and leverage the popular HuggingFace ecosystem.
Syllabus
- Introduction
- Pipeline
- Model And Tokenizer
- PyTorch classification
- Saving And Loading
- Model Hub
- Fine Tuning
Taught by
Python Engineer
Related Courses
TensorFlow: Working with NLPLinkedIn Learning Introduction to Video Editing - Video Editing Tutorials
Great Learning via YouTube GPT3 and Finetuning the Core Objective Functions - A Deep Dive
David Shapiro ~ AI via YouTube How to Build a Q&A AI in Python - Open-Domain Question-Answering
James Briggs via YouTube Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial
Venelin Valkov via YouTube