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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -12,7 +12,7 @@ This code uses four main scripts, described below, to train and test your model

You can run this classifier code by installing the requirements

pip install requirements.txt
pip install -r requirements.txt

and running

Expand All @@ -35,4 +35,4 @@ Once we obtain the onnx model file, we could deploy the model on the board by fo


## How do I obtain the scoring?
After training your model and obtaining test outputs with above commands, you could evaluate the scores of your models using the scoring function specified in [TinyML Contest 2022 evaluation](https://tinymlcontest.github.io/TinyML-Design-Contest/Problems.html).
After training your model and obtaining test outputs with above commands, you could evaluate the scores of your models using the scoring function specified in [TinyML Contest 2022 evaluation](https://tinymlcontest.github.io/TinyML-Design-Contest/Problems.html).