[Question] Is there any way to save a trained model in pytorch tabular #272
Replies: 5 comments
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Absolutely, you can save your Python model using libraries like Here's a quick example of how you can save a model using import pickle
# Assuming you have a trained model
model = ...
# Now, let's save this model to a file
with open('model.pkl', 'wb') as file:
pickle.dump(model, file) And when you need to bring that model back to life, just use import pickle
# Loading the model from the saved file
with open('model.pkl', 'rb') as file:
loaded_model = pickle.load(file) It's a simple and nifty way to save and reload your models. However, do keep in mind that for complex machine learning models, especially those from deep learning frameworks like PyTorch or TensorFlow, using the built-in serialization methods provided by the framework (like |
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@DonMiller9294 thanks for your reply, last question how can I save a pytorch tabular model using |
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@pranavvp16 Everything that @DonMiller9294 said works. For added convenience, PyTorch Tabular provides a few methods out of the box to help you save and load the model.
And it would be absolutely wonderful if you can add examples or add documentation to make this process clearer.. |
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Thanks, I will make a PR soon |
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Converting this to a discussion, as this isn't an issue.. |
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Currently I'm working on task that requires to save the model, can I save the model using pickle or other libraries like dill
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