Lightweight library to build web3 machine learning workflows
Project description
infernet-ml
infernet-ml
is a lightweight library meant to simplify the implementation
of machine learning workflows for models intended for Web3.
Installation
Via pip
To install this library via pip:
python -m venv .venv
source .venv/bin/activate
pip install "infernet-ml"
Via uv
Alternatively, via uv:
uv venv
source .venv/bin/activate
uv pip install infernet-ml
Optional Dependencies
Depending on the workflow you're using, you may want to install optional dependencies. For example, if you're using the
torch
workflow, you'll need to install its dependencies by running:
pip install "infernet-ml[torch_inference]"
Alternatively, via uv:
uv pip install "infernet-ml[torch_inference]"
[!NOTE] The optional dependencies for this workflow require that
cmake
is installed on your system. You can installcmake
on MacOS by runningbrew install cmake
. On Ubuntu & Windows, consult the documentation for more information.
Docs
For more information on this library, consult the documentation website.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for infernet_ml-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d9c3abb6183c711f9b06acc7b228857457fa5c51f6d00d22033ba02c853fb410 |
|
MD5 | 8ed84a2b0aa22411511d2d15ce874179 |
|
BLAKE2b-256 | a444b0945c0f15f6ac03f3b4806aa9440a052742f059e3b5c37c447258746127 |