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Soroush Omranpour 2 years ago
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@@ -10,6 +10,6 @@ Several modifications have been made on the [original code](https://github.com/s
## Getting started
1. First, use the [data preprocessing notebook]() to prepare your data for the model. You should apply the code for different splits separately.
1. First, use the [data preprocessing notebook](data preprocessing.ipynb) to prepare your data for the model. You should apply the code for different splits separately.

2. Then, use the [train notebook]() to train your model and see the results.
2. Then, use the [train notebook](train.ipynb) to train your model and see the results.

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