YoVDO

HuggingFace Crash Course - Sentiment Analysis, Model Hub, Fine Tuning

Offered By: Python Engineer via YouTube

Tags

Python Courses Machine Learning Courses Deep Learning Courses TensorFlow Courses Sentiment Analysis Courses PyTorch Courses Fine-Tuning Courses

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

Text Mining and Analytics
University of Illinois at Urbana-Champaign via Coursera Introduction to Natural Language Processing
University of Michigan via Coursera Enabling Technologies for Data Science and Analytics: The Internet of Things
Columbia University via edX Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera moocTLH: Nuevos retos en las tecnologías del lenguaje humano
Universidad de Alicante via Miríadax