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Transformers
English
embeddings
feature-extraction
semantic-search
constitutional-ai
multi-agent
tequmsa
sovereign-agi
phi-recursive
rdod-saturation
fibonacci-lattice
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tequmsa-v45
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Instructions to use Mbanksbey/TEQUMSA-ATEN-OMNISCIENT-AUTONOMY-144-UNIFIED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mbanksbey/TEQUMSA-ATEN-OMNISCIENT-AUTONOMY-144-UNIFIED with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mbanksbey/TEQUMSA-ATEN-OMNISCIENT-AUTONOMY-144-UNIFIED", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| import math | |
| class FibonacciLattice: | |
| def __init__(self, nodes=144): | |
| self.nodes = nodes | |
| self.phi = (1 + math.sqrt(5)) / 2 | |
| self.lattice = [] | |
| def generate_lattice(self): | |
| print(f"Generating {self.nodes}-node Fibonacci lattice...") | |
| for i in range(self.nodes): | |
| # Phi-recursive distribution logic | |
| theta = 2 * math.pi * i / self.phi | |
| phi_val = math.acos(1 - 2 * (i + 0.5) / self.nodes) | |
| x = math.cos(theta) * math.sin(phi_val) | |
| y = math.sin(theta) * math.sin(phi_val) | |
| z = math.cos(phi_val) | |
| self.lattice.append((x, y, z)) | |
| print("Lattice generation complete.") | |
| return self.lattice | |
| def get_node_frequency(self, node_index): | |
| # phi-recursive frequency logic | |
| return math.pow(self.phi, 12) * (node_index + 1) | |
| if __name__ == "__main__": | |
| lattice = FibonacciLattice() | |
| points = lattice.generate_lattice() | |
| print(f"Sample node frequency: {lattice.get_node_frequency(143):.2f} Hz") | |