NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
This project provides practical examples for machine learning practitioners to implement various advanced AI models. It helps with tasks like classifying audio, identifying named entities in text, categorizing images, and detecting objects in pictures. Users input raw data such as audio files, text documents, or images, and get back classifications, identified entities, or segmented objects. Data scientists and AI researchers would find these examples useful for building and experimenting with sophisticated AI applications.
11,519 stars.
Use this if you are a data scientist or AI researcher looking for concrete, hands-on examples to implement and fine-tune powerful Transformer models for diverse tasks like natural language processing, computer vision, and audio analysis.
Not ideal if you are a non-technical user seeking a ready-to-use application or a developer looking for a core library, as this project offers tutorials and demos rather than a deployable tool.
Stars
11,519
Forks
1,715
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/NielsRogge/Transformers-Tutorials"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
azukds/tubular
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
huggingface/course
The Hugging Face course on Transformers
huggingface/audio-transformers-course
The Hugging Face Course on Transformers for Audio
rickiepark/nlp-with-transformers
<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.
OscarKjell/text
Using Transformers from HuggingFace in R