Made possible to add new concepts to the CLIP text encoder, e.g. via Textual Inversion
Installation
The current recommended way to install Refiners is from source using Rye:
git clone "git@github.com:finegrain-ai/refiners.git"
cd refiners
rye sync --all-features
Documentation
Refiners comes with a MkDocs-based documentation website available at https://refine.rs. You will find there a quick start guide, a description of the key concepts, as well as in-depth foundation model adaptation guides.
Awesome Adaptation Papers
If you're interested in understanding the diversity of use cases for foundation model adaptation (potentially beyond the specific adapters supported by Refiners), we suggest you take a look at these outstanding papers:
@misc{the-finegrain-team-2023-refiners,
author = {Benjamin Trom and Pierre Chapuis and Cédric Deltheil},
title = {Refiners: The simplest way to train and run adapters on top of foundation models},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/finegrain-ai/refiners}}
}