Hugging Face Tutorial for Beginners

Welcome to the Hugging Face course. 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 – FeaturesHere are some of the 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 deploy and use models in production environments easily.Community and Collaboration: Hugging Face fosters a strong community of researchers, developers, and enthusiasts who contribute to the ecosystem.Hugging Face Overview1. Hugging Face - Introduction and Features2. Hugging Face - Use CasesHugging Face – Libraries3. Transformers Library of Hugging Face4. Datasets Library of Hugging Face5. Tokenizers Library of Hugging FaceHugging Face – Access Token (API Key)6. Hugging Face Access Token (API Key) & How to CreateWorking with Datasets and Models7. Download a dataset on Hugging Face8. Download a model from Hugging FaceUse Pre-Trained Model