fastai/fastai Installation Guide

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Automated Install (Recommended)

Quick installation instructions for fastai/fastai. This is the fastest way to complete project installation and setup.

Install via curl

curl -fsSL https://hexmos.com/ipm-install | bash && 
ipm i fastai/fastai

Install via PowerShell

iwr https://hexmos.com/ipm-install-ps -UseBasicParsing | iex; 
ipm i fastai/fastai

Install via npx

npx @hexmos/ipm i fastai/fastai

Prerequisites

Python

language

Version: >=3.6.0

PyTorch

package_manager

Version: 1.13.1+cu117

Git

system_tool

For cloning the repository.

Jupyter Notebook

environment

For interactive coding and data exploration. Install using `pip install jupyter`.

conda

package_manager

Version: 4.10.2

fastai[dev]

package_manager

For editable installs of fastai and its dependencies.

Google Colab

service

For running code in a cloud-based environment. Install using the provided link: [https://colab.research.google.com/](https://colab.research.google.com/).

Docker

system_tool

For containerization and development. Install using the provided link: [https://docs.docker.com/get-docker/](https://docs.docker.com/get-docker/).

Windows Subsystem for Linux (WSL)

For running fastai on Windows. Install using the provided link: [https://docs.microsoft.com/en-us/windows/wsl/install](https://docs.microsoft.com/en-us/windows/wsl/install).

NumPy

package_manager

Version: 1.24.0

Manual Installation Methods

Package Manager Installation

pip install fastai

Editable Installation via Git and Pip

git clone https://github.com/fastai/fastai.git

pip install -e .[dev]

Test Execution

nbdev_test

Post Installation Steps

Open a web browser and navigate to http://localhost:8000/ to view the application.
To access the API, use tools like Postman or curl to send requests to the specified endpoint (e.g., http://localhost:8000/api/v1/data).
For more information on the API, refer to the documentation at [link to API documentation] if available.

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