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# Initialize a BoosterX model model = BoosterXModel(num_classes=10)

pip install boosterx Check out our tutorials for more.

# Assuming you have a dataset and data loader for data, labels in data_loader: # Use BoosterX to accelerate your model training outputs = model(data) # Your training loop... Summarize the benefits and potential of BoosterX. Encourage readers to explore the GitHub repository for more detailed information and to get involved in the community. Example Post Here's a simple example of what your post could look like: