Hugging Face Tutorial

03 Mar Hugging Face Tutorial

Posted at 20:04h in Hugging Face, Tutorials by Studyopedia Editorial Staff 0 Comments

Hugging Face is a company and open-source community that focuses on natural language processing (NLP) and artificial intelligence (AI). It is best known for its Transformers library, which provides tools and pre-trained models for a wide range of NLP tasks, such as text classification, sentiment analysis, machine translation, and more

Hugging Face Tutorial

Features of Hugging Face

Transformers Library: A comprehensive library that includes thousands of pre-trained models like BERT, GPT, T5, and others, which can be fine-tuned for specific tasks.
Model Hub: A platform where users can share and download pre-trained models, datasets, and other resources.
Datasets Library: Provides easy access to a wide variety of datasets for NLP tasks.
Spaces: A platform for hosting and sharing machine learning demos and applications.
Inference API: Allows users to easily deploy and use models in production environments.

Viewers

The Hugging Face tutorial is prepared for students, engineers, and professionals. It will help machine learning and data science enthusiasts understand the concept of AI.