Lesson 2 official topic

[jeremy (Jeremy Howard)]

This post is for topics related to lesson 2 of the course.

This is a wiki post - feel free to edit to add links from the lesson or other useful info.

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Lesson resources

• Recording
• Notebooks for this lesson:
  • Saving a basic fastai model: Kaggle // Colab
• The fastai book:
  • Published version
  • Free notebook version
• Solutions to chapter 2 questions from the book

Links from the lesson

• Gradio tutorial from @ilovescience
• HF Spaces
• Installing a python environment
  • fastsetup
  • Windows: WSL and Terminal
• tinypets github / site
• tinypets fork github / site
• aiquizzes

FAQ

• On Hugging Face Spaces I get the error “no module named fastai”
  • You should follow the Gradio tutorial from @ilovescience. Note the section that describes creating a file requirements.txt

[VishnuSubramanian (Jarvislabs.ai)]

Yeah, it is not working on Jupyterlab which is the default while using Jarvislabs.ai, the simplest way to switch to Jupyter notebooks would be to replace the word lab with tree in the URL.

I will explore if it can be run in Jupyterlab.

[jeremy (Jeremy Howard)]

@VishnuSubramanian

I will explore if it can be run in Jupyterlab.

Great! Let us know what you find. It’s just using regular ipywidgets.

[kurianbenoy]

@VishnuSubramanian

Yeah, it is not working on Jupyterlab which is the default while using Jarvislabs.ai, the simplest way to switch to Jupyter notebooks would be to replace the word lab with tree in the URL.

Thanks didn’t know that actually existed for using Jupyter notebooks too .

I noticed jupyter-contrib-nbextensions also doesn’t work in JupyterLabs for using collapsible headings.

Jupyter Notebook extensions within Jupyter Lab