From ef81c0ba3f179b0162dd3eccf5910b86c2404b01 Mon Sep 17 00:00:00 2001 From: Ann Huang Date: Tue, 5 Nov 2024 12:08:19 -0800 Subject: [PATCH] Remove mention of chapters 10-12 --- chapters/en/chapter1/1.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/chapters/en/chapter1/1.mdx b/chapters/en/chapter1/1.mdx index 30c992371..a2a11c2d9 100644 --- a/chapters/en/chapter1/1.mdx +++ b/chapters/en/chapter1/1.mdx @@ -23,7 +23,7 @@ Here is a brief overview of the course: - Chapters 1 to 4 provide an introduction to the main concepts of the 🤗 Transformers library. By the end of this part of the course, you will be familiar with how Transformer models work and will know how to use a model from the [Hugging Face Hub](https://huggingface.co/models), fine-tune it on a dataset, and share your results on the Hub! - Chapters 5 to 8 teach the basics of 🤗 Datasets and 🤗 Tokenizers before diving into classic NLP tasks. By the end of this part, you will be able to tackle the most common NLP problems by yourself. -- Chapters 9 to 12 go beyond NLP, and explore how Transformer models can be used to tackle tasks in speech processing and computer vision. Along the way, you'll learn how to build and share demos of your models, and optimize them for production environments. By the end of this part, you will be ready to apply 🤗 Transformers to (almost) any machine learning problem! +- Chapter 9 goes beyond NLP to cover how to build and share demos of your models on the 🤗 Hub. By the end of this part, you will be ready to showcase your 🤗 Transformers application to the world! This course: