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I recently decided to try exploring neural networks and make a simple text publishing generator based on a model from my existing ones. spaGo looks attractive, but in my opinion the examples and documentation are not enough for a "quick start".
For example, all the examples require you to download already prepared models and then load them, but there is not a single example of how you can create and train your own model on your own data like text. I (roughly) understand that I need to tokenize words or characters and create a Vocabulary from them. But what to do next with it is unclear to me: how to create a model from it and train it?
I just need to understand how to work with the provided API package on some example. If I understand correctly, the difference is only in details and data formats.
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I recently decided to try exploring neural networks and make a simple text publishing generator based on a model from my existing ones. spaGo looks attractive, but in my opinion the examples and documentation are not enough for a "quick start".
For example, all the examples require you to download already prepared models and then load them, but there is not a single example of how you can create and train your own model on your own data like text. I (roughly) understand that I need to tokenize words or characters and create a Vocabulary from them. But what to do next with it is unclear to me: how to create a model from it and train it?
I just need to understand how to work with the provided API package on some example. If I understand correctly, the difference is only in details and data formats.
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