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try use files not clone
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commerce-product-ranking/README.md

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@@ -77,6 +77,7 @@ $ docker run --detach --name vespa --hostname vespa-container \
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</pre>
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Verify that configuration service (deploy api) is ready:
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<pre data-test="exec">
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$ vespa status deploy --wait 300
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</pre>
@@ -86,6 +87,11 @@ Download this sample application:
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$ vespa clone commerce-product-ranking my-app && cd my-app
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</pre> -->
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<pre data-test="exec">
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$ echo $PWD
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$ cd commerce-product-ranking
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</pre>
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Download cross-encoder model:
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<pre data-test="exec">
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$ curl -L -o application/models/title_ranker.onnx \
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Install requirements
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<!-- <pre data-test="exec">
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$ pip3 install pandas pyarrow git+https://github.com/vespa-engine/pyvespa.git@6a1b12128bff426f90b82d212f439755b520584c
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</pre> -->
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<pre data-test="exec">
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$ pip3 install pandas pyarrow pyvespa
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</pre>
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With the dependencies installed, we can evaluate the ranking model using the evaluation script:
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