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| Inputs | 8 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 9 |
| Magnitude | 9 |
1from safetensors.torch import load_file
2import torch
3
4w = load_file('model.safetensors')
5
6def isone8(a7, a6, a5, a4, a3, a2, a1, a0):
7 inp = torch.tensor([float(a7), float(a6), float(a5), float(a4),
8 float(a3), float(a2), float(a1), float(a0)])
9 return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
10
11print(isone8(0, 0, 0, 0, 0, 0, 0, 1)) # 1 (input = 1)
12print(isone8(0, 0, 0, 0, 0, 0, 1, 0)) # 0 (input = 2)