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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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<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 :
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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 !
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| with the inspector | on the Hub |
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| <a target="_blank" href="https://github.com/user-attachments/assets/
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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 ? Did continuous training improve, or decrease perf ? Does sorting through model cards feel like a never-ending chore ?</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 :
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| with the inspector | on the Hub |
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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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<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 :
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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 !
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