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  <img src="https://github.com/user-attachments/assets/82709377-2a46-460e-b2d6-45e6b0be98d7" width=355px height=60px />
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- With <em>release v0.1.2</em> comes integration for the Hugging Face ecosystem.
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- <code><a target="_blank" href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines</a></code> runs which take advantage of this do benefit from automated&nbsp;:
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- - dataset and model versioning with dynamically-generated READMEs with full fine-grained lineage
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- - execution source-code uploading
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- - execution pipeline-card uploading
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- - an inspector for model performance history across versions
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- - 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;!
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- Browse model versions &nbsp;:
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  | with the inspector | on the Hub |
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  |---|---|
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- | <a target="_blank" href="https://github.com/user-attachments/assets/9cbbb624-9cef-4e36-b982-e0897fa81d93"><img alt="inspector.webm" width="250" height="210" src="https://github.com/user-attachments/assets/f9d1ce14-a4c3-48a0-91fc-ab141fbbd750" /></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/41627b60-8de9-4846-a807-821c139cb70a" /></a> |
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <img src="https://github.com/user-attachments/assets/82709377-2a46-460e-b2d6-45e6b0be98d7" width=355px height=60px />
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+ <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>
 
 
 
 
 
 
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+ With <code><a target="_blank" href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines</a></code>, you can overlook your model versions, hassle-free &nbsp;:
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  | with the inspector | on the Hub |
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  |---|---|
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+ | <a target="_blank" href="https://github.com/user-attachments/assets/6863f30d-bfaa-4a9a-946f-fb8b90e8bba0"><img alt="inspector.webm" width="250" src="https://github.com/user-attachments/assets/8ed27954-e875-4a71-81c9-8435648de139" /></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> |
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+ <hr />
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+ <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.
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+
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+ <em>Release v0.1.2</em> brings integration for the Hugging Face ecosystem.
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+ <code><a target="_blank" href="https://github.com/aurelienmorgan/retrain-pipelines">retrain-pipelines</a></code> runs which take advantage of this do benefit from automated&nbsp;:
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+ - dataset and model versioning with dynamically-generated READMEs and full fine-grained lineage
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+ - execution source-code upload
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+ - execution pipeline-card upload
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+ - an inspector for model performance history across versions
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+ - 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;!