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Nlp With Transformers

Nlp With Transformers is a public repository of Jupyter notebooks accompanying a book on natural language processing with transformers. The notebooks contain the book’s code examples and include Google Colab links; the repository also describes local use with Python or Conda.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Nlp With Transformers — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want the book’s NLP examples in Jupyter notebooks, especially if you plan to work through them in Colab or prepare a local environment using the versions noted in each notebook.

Who it is for

  • Readers working through the accompanying book on transformer-based natural language processing.
  • Learners who want notebook examples they can open in Google Colab.
  • Developers who want to prepare a local Python or Conda environment for the examples.

Documented uses

  • Follow practical NLP examples alongside the book.
  • Open an individual example through its Google Colab link.
  • Prepare a local environment to work with the notebook code.
Before you choose

Requirements & limits

The repository is public and licensed under Apache-2.0.

  • Each notebook includes a Google Colab link, and the notebooks were tested in Colab.
  • Local use requires cloning the repository and creating a Python virtual environment or Conda environment.
  • The README warns that code may not work with the latest library versions and that results can vary by library version.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare a local environment for the notebooks

Set up the repository and environment before working with its book examples.

Before you start

  • A local computer with Python or Conda available.

Steps

  1. Clone the repository.

  2. Create a Python virtual environment or Conda environment.

  3. Check the library versions listed in the first-cell output of the notebook you plan to use, and consult those versions when configuring the local environment.

Expected outcome

A local environment prepared with reference to the library versions used by the notebooks.

Guide limitations

  • The repository warns that its code may not be compatible with the latest library versions.
  • Results may vary with library versions.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
14 October 2026
Original website title
rickiepark/nlp-with-transformers · Official homepage title · retained in its source language
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