Hugging Face Tutorial for Beginners

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Hugging Face Tutorial for Beginners
Published 4/2025
Duration: 1h 9m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 490 MB
Genre: eLearning | Language: English

Learn to use pre-trained models on Hugging Face for: Text-to-Image, Text-to-Video, Text Classification, Translation, etc

What you'll learn
- Learn Hugging Face from scratch
- Understand the Hugging Face use cases
- Understand pre-trained models on Hugging Face
- Get to know the Datasets on Hugging Face
- Learn to work with the Transformers library
- Learn to work with the Datasets library
- Learn to work with the Tokenizers library
- Text Classification with Hugging Face
- Translate Text with Hugging Face
- Text-to-Image with Hugging Face
- Text-to-Video with Hugging Face
- Question-Answering with Hugging Face
- Text Summarization with Hugging Face

Requirements
- A computer with an Internet
- You should be able to use a web browser at a beginner level

Description
Welcome to theHugging Facecourse.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 - Features

Here 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 Overview

1. Hugging Face - Introduction and Features

2. Hugging Face - Use Cases

Hugging Face - Libraries

3. Transformers Library of Hugging Face

4. Datasets Library of Hugging Face

5. Tokenizers Library of Hugging Face

Hugging Face - Access Token (API Key)

6. Hugging Face Access Token (API Key) & How to Create

Working with Datasets and Models

7. Download a dataset on Hugging Face

8. Download a model from Hugging Face

Use Pre-Trained Models with Hugging Face

9. Sentiment Analysis using Hugging Face

10. Text Classification using Hugging Face

11. Text Summarizations using Hugging Face

12. Text to Text (Translate) using Hugging Face

13. Question Answering using Hugging Face

14. Text to Image using Hugging Face

15. Text to Video Synthesis using Hugging Face

Who this course is for:
- Those who want to begin their AI journey
- Beginner AI Enthusiasts
- Learn to use the pre-trained models on Hugging Face
- Those who to generate images from text prompt
- Those who want to generate videos from text prompt
- Learn to translate text using pre-trained models
- Analyse sentiments with a pre-trained model
More Info

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