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Expand Up @@ -39,7 +39,7 @@ In theory, the library supports up to 10 dimensions. In practice, ConvNets with

## Hello World
SparseConvNets can be built either by [defining a function that inherits from torch.nn.Module](examples/Assamese_handwriting/VGGplus.py) or by stacking modules in a [sparseconvnet.Sequential](PyTorch/sparseconvnet/sequential.py):
```
```python
import torch
import sparseconvnet as scn

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