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---
title: README
emoji: πŸ“ˆ
colorFrom: red
colorTo: yellow
sdk: static
pinned: false
---

<img src="https://github.com/user-attachments/assets/82709377-2a46-460e-b2d6-45e6b0be98d7" width=355px height=60px />

<b>Wondering if the new version of your model is better than the last&nbsp;? Did continuous training improve, or decrease perf&nbsp;? Does sorting through model cards feel like a never-ending chore&nbsp;?</b>

With <code><a target="_blank" href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines</a></code>, you can overlook your <b>Hugging Face</b> model versions, hassle-free&nbsp;:

| with the inspector | on the Hub |
|---|---|
| <a target="_blank" href="https://github.com/user-attachments/assets/44e99d4e-5d49-4a61-8b58-dd135ffe91df"><img alt="inspector.webm" width="250" src="https://github.com/user-attachments/assets/a99eff5f-7f2b-461b-a193-164bb3fe308c" /></a> | <a target="_blank" href="https://github.com/user-attachments/assets/d3fb9a55-69c8-40a4-b458-52b0217f559e"><img alt="hub.webm" width="250" src="https://github.com/user-attachments/assets/77549e82-ead0-4625-945b-3d73598bde2d" /></a> |

<hr />

<code><a target="_blank" href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines</a></code> focuses on continuous learning (retraining through dataset updates/refinements), enabling the creation of a new version of a model and the comparison of its performance against that of its best predecessor.

<em>Release v0.1.2</em> brings integration for the Hugging Face ecosystem. By retraining with 
<code><a target="_blank" href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines</a></code>, you benefit from&nbsp;:
  - automated dataset and model versioning, with dynamically-generated (metadata-rich) READMEs and full fine-grained lineage
  - automated upload of retraining source-code
  - automated upload of retraining pipeline-card
  - an inspector for model performance history across versions
  - and all other good things that make the <code><a target="_blank" href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines</a></code>' DNA, like highly-customizable pipeline templates to get started fast&nbsp;!