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License: MIT License
sm-embedder Demo project for a supermarket products embedder. Dataset used for training: https://drive.google.com/drive/folders/16ERnsBosg0VrF6fUXR1lHXPOimIrzQbA?usp=sharing Instructions: 1. Install the requirements with: pip install -r requirements.txt NOTE: this is not a clean requirements.txt. It can install extra stuff. 2. Start with setup_for_train.ipynb. Change the dataset_dir and the build_dir variables to the root of the original dataset and the root of the dir where you want the artifacts to be generate, respectively. 3. Run all the cells on setup_for_train.ipynb. 4. After running all the cells, open the train.ipynb notebook. Change the build_dir variable to the same dir of step 2. 5. Run all the cells. Epilogue: There is a lot of encapsulation into .py files. Take a look at them first if you feel like it.
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