Downloads · 30 days
15
22% of all-time downloads
threshold-1outof4
phanerozoic/threshold-1outof4
threshold-1outof4 is a machine learning model from phanerozoic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
At least 1 of 4 inputs high. Equivalent to 4-input OR gate.
All-time downloads
69
Public
Parameters
5
Likes
0
Public
Repo makeup
Click a slice to open those files.
.py1.7 KB · 52%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 23, 2026
- Updated
- Jan 24, 2026
- SHA
- edd25971
Model card
From the Hugging Face model README
threshold-1outof4
At least 1 of 4 inputs high. Equivalent to 4-input OR gate.
Function
1outof4(a, b, c, d) = 1 if (a + b + c + d) >= 1, else 0
Equivalently: OR(a, b, c, d)
Truth Table
| a | b | c | d | sum | out |
|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 1 | 1 | 1 |
| 0 | 0 | 1 | 1 | 2 | 1 |
| 0 | 1 | 1 | 1 | 3 | 1 |
| 1 | 1 | 1 | 1 | 4 | 1 |
Architecture
Single neuron: weights [1, 1, 1, 1], bias -1
Fires when: a + b + c + d - 1 >= 0, i.e., sum >= 1
Parameters
| Inputs | 4 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 5 |
| Magnitude | 5 |
Usage
from safetensors.torch import load_file
import torch
w = load_file('model.safetensors')
def atleast1of4(a, b, c, d):
inp = torch.tensor([float(a), float(b), float(c), float(d)])
return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
print(atleast1of4(0, 0, 0, 0)) # 0
print(atleast1of4(0, 0, 0, 1)) # 1
License
MIT
- License
- mit
- Created
- Jan 23, 2026
- Updated
- Jan 24, 2026