DEV Community

Cover image for Hugging Face: The AI Revolution You Can't Ignore!
Duc Nguyen Thanh
Duc Nguyen Thanh

Posted on

Hugging Face: The AI Revolution You Can't Ignore!

One of the top platforms for machine learning (ML) and natural language processing (NLP) is Hugging Face. Building AI-powered apps is made easier by its extensive ecosystem of open-source models, datasets, and tools. Text categorization, translation, summarization, and other cutting-edge NLP tasks are frequently accomplished with its main library, Transformers.


Key Features of Hugging Face

- Pre-trained Models: Thousands of pre-trained models for audio, computer vision, and natural language processing tasks are available.

Pre-trained Models

- Datasets: A library for importing, preparing, and maintaining datasets.

Datasets

- Tokenizers are effective tokenization tools designed to work with common machine learning architectures.
- Fine-tuning: The ability to modify previously trained models using your own datasets.


How to Use Hugging Face in Python

1. Create an Access Token here

Access Token

2. Read the instructions in the Model card (model) or Dataset card (dataset)

Model card

Dataset card

Leave your comment if you have any questions

API Trace View

How I Cut 22.3 Seconds Off an API Call with Sentry 🕒

Struggling with slow API calls? Dan Mindru walks through how he used Sentry's new Trace View feature to shave off 22.3 seconds from an API call.

Get a practical walkthrough of how to identify bottlenecks, split tasks into multiple parallel tasks, identify slow AI model calls, and more.

Read more →

Top comments (0)