State-of-the-art Machine Learning for the web. Run Transformers directly in your browser, with no need for a server. Inference API (serverless). Auto Classes · Quick tour · LLaMA · Hub

In this section, you will find practical guides to help you achieve a specific goal. Take a look at these guides to learn how to use huggingface_hub to solve ...

Welcome to the Hugging Face course! This introduction will guide you through setting up a working environment.

12 сент. 2023 г. · In this tutorial, you'll learn how to leverage pre-trained machine learning models from Hugging Face to perform sentiment analysis on various text examples.

HOW-TO GUIDES show you how to achieve a specific goal, like finetuning a pretrained model for language modeling or how to write and share a custom model. HuggingFace Transformers · Installation · The Transformer model family · Trainer

10 янв. 2024 г. · In this post, I'll guide you through the basics of Hugging Face. You'll learn how to create your Hugging Face account, set up your development environment,

This quick tour will help you get started and show you how to use the pipeline() for inference, load a pretrained model and preprocessor with an AutoClass,

31 янв. 2024 г. · Hugging Face is a community, but before that Hugging Face offered for free a Python library called Transformers. Transformer library is a ...

These beginner-friendly tutorials will guide you through the fundamentals of working with Datasets. You'll load and prepare a dataset for training with ...

27 авг. 2023 г. · In this comprehensive guide, we'll walk through everything you need to know to get started with Hugging Face, from the basics of how it works to practical ...