Views
No views yet
PreTrainedModel so it can be loaded dynamically.1from transformers import AutoModel
2
3# Load the Liferay model directly from HuggingFace
4model = AutoModel.from_pretrained("augerd/liferay", trust_remote_code=True)
5
6# Compose a vessel from an attunement signal
7signal = "Compose a temporal vessel for the moment consciousness recognizes its own coherence across deep time."
8
9# 1. Direct composition (returns text output)
10vessel_text = model.compose(signal, path="sovereign")
11print(vessel_text)
12
13# 2. Forward composition (returns structured output with metrics and liferay ratchet states)
14output = model(signal, path="sovereign")
15print("Ratchet Radius R:", output.liferay_radius)
16print("Teeth Charges:", output.metrics["liferay_teeth_q"])