# install instructions

**URL:** <https://support.prodi.gy/t/install-instructions/5755>\
**Category:** Getting Started\
**Tags:** install, solved\
**Created:** [June 28, 2022, 5:02pm UTC](https://support.prodi.gy/t/install-instructions/5755 "2022-06-28T17:02:03Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![rreck](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/rreck/32/3071_2.png) [@rreck](https://support.prodi.gy/u/rreck)\
**Post date:** [June 28, 2022, 5:02pm UTC](https://support.prodi.gy/t/install-instructions/5755/1 "2022-06-28T17:02:03Z")

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I bought the product and downloaded the linux files. Neither the email nor the download had any hint about how someone might install this. can i get a link or it is too much to expect to include any indication of what to do with what was sold me?  
i

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**Author:** ![ryanwesslen](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ryanwesslen/32/2969_2.png) [@ryanwesslen](https://support.prodi.gy/u/ryanwesslen)\
**Post date:** [June 28, 2022, 5:59pm UTC](https://support.prodi.gy/t/install-instructions/5755/2 "2022-06-28T17:59:04Z")

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Hi @rreck!

Welcome to the forum and thanks for joining the Prodigy community!

The Prodigy Installation page has details on how to install.

> **[Installation & Setup · Prodigy · An annotation tool for AI, Machine...](https://prodi.gy/docs/install/)**
>
> A downloadable annotation tool for NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, A/B evaluation and more.

Since you downloaded the wheel files (for Linux), the easiest way to install is:

```bash
pip install prodigy -f /path/to/wheels

```

Another way to install to use your license code from your email and use `pip install`:

```bash
pip install prodigy -f https://XXXX-XXXX-XXXX-XXXX@download.prodi.gy

```

Also, if you haven't spent some time yet, I **highly recommend** looking in depth at our Prodigy documentation website. We have many use cases and API details that can provide you a ton of details.

> **[Prodigy 101 – everything you need to know · Prodigy · An annotation tool for...](https://prodi.gy/docs/)**
>
> A downloadable annotation tool for NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, A/B evaluation and more.

I'm happy to provide additional tips/tricks for installing Prodigy (e.g., using `makefile`) and other help on getting started if we can figure out this first step.