Transformers
English
triangulated-inference
edge-ai
ensemble
small-models
nova-triangle
gradient-ascent
self-correcting
Instructions to use Wayfinder6/nova-triangle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wayfinder6/nova-triangle with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Wayfinder6/nova-triangle", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 696 Bytes
13bc746 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | """
Nova Triangle — Three small models that correct each other.
A triangulated inference framework. Instead of one large model guessing,
three small models deliberate, disagree, and converge. The disagreement
is the signal.
Usage:
from nova_triangle import Triangle
tri = Triangle(
models=["HuggingFaceTB/SmolLM2-360M", "Qwen/Qwen2.5-0.5B", "microsoft/phi-1_5"],
)
result = tri.process("Translate this cuneiform tablet")
print(result.answer)
print(result.confidence)
print(result.disagreement)
"""
from nova_triangle.triangle import Triangle
from nova_triangle.result import TriangleResult
__version__ = "0.1.0"
__all__ = ["Triangle", "TriangleResult"]
|