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Update README link - End-to-end pipeline with NVIDIA Merlin #593

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merged 2 commits into from
Jan 6, 2023

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masoncusack
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Update broken link in README

@rnyak rnyak added the documentation Improvements or additions to documentation label Jan 4, 2023
@rnyak rnyak added this to the Merlin 23.01 milestone Jan 4, 2023
@@ -51,7 +51,7 @@ These components enable you to build a fully GPU-accelerated pipeline for sequen
NVTabular has common preprocessing operations for session-based recommendation and exports a dataset schema.
The schema is compatible with Transformers4Rec so that input features can be configured automatically.
You can export your trained models to serve with Triton Inference Server in a single pipeline that includes online feature preprocessing and model inference.
For more information, refer to [End-to-end pipeline with NVIDIA Merlin](pipeline.md).
For more information, refer to [End-to-end pipeline with NVIDIA Merlin](https://nvidia-merlin.github.io/Transformers4Rec/main/pipeline.html).
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Looks good. Thanks for noticing and providing the fix.

@mikemckiernan mikemckiernan merged commit 7278e5f into NVIDIA-Merlin:main Jan 6, 2023
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