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With this release there were no changes to the model itself at all.
All the changes that were made were to make it easier for people to actually use the model.
There is now a new directory called supervised_product_matching which is described in the README.
This directory is a package that can be installed using the command provided.
It gives people much easier access to the model architectures used for training as well as the preprocessing that was used before titles get sent to the model.
The repository also now makes use of my CharacterBERT repository which essentially just updated the code of the original repository to work with the latest version of HuggingFace Transformers and exposes the architecture in the form of a package for better portability.
There are command-line arguments now for torch_train_model.py
You can find the NLP Dashboard repository here and the NLP Dashboard Server here if you want to make use of them for training.