Skip to content

Removes pip reference from documentation #114

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
p-ferreira merged 2 commits into from
Aug 1, 2023
Merged

Removes pip reference from documentation #114

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
c2e3e79
Merge pull request #103 from opentensor/test_fixes
Eugene-hu Jul 26, 2023
d861073
remove pip reference from README
p-ferreira Aug 1, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 2 additions & 10 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@

# **Open Validators** <!-- omit in toc -->
[![Discord Chat](https://img.shields.io/discord/308323056592486420.svg)](https://discord.gg/bittensor)
[![PyPI version](https://badge.fury.io/py/openvalidators.svg)](https://badge.fury.io/py/openvalidators)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

---
Expand All @@ -19,7 +18,7 @@ It offers several functionalities, such as:

The main goal of this repository is to facilitate the interaction with the Bittensor network by providing a set of
open-source validators to the community. The current validator implementation queries the network for responses and
evaluations using carefully crafted prompts, that are later evaluated by a large foundation GPT-J reward model.
evaluations using carefully crafted prompts using CoT, that are later evaluated by a pipeline of reward functions, including diversity, relevance, rlhf, among others.

Additionally, the repository provides an analysis and data toolkit that allows users to analyze the data generated from
the validator's interaction with the network. By default, the validator collects various data points, such as question
Expand Down Expand Up @@ -69,14 +68,7 @@ There are currently four main avenues for engaging with this repository:
- Serves individuals, researchers, and developers who seek to create datasets for the community's miners.

# Install
There are two ways to use OpenTensor validators:

1. With pip:
```bash
$ pip3 install openvalidators
```

2. From source:
From source:
```bash
$ git clone https://github.com/opentensor/validators.git
$ pip3 install -e openvalidators/
Expand Down