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: 885 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 26 27 28 | from setuptools import setup, find_packages
setup(
name="nova-triangle",
version="0.1.0",
description="Three small models that correct each other.",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
author="Heuremen",
author_email="hello@heuremen.org",
url="https://github.com/Wayfinder6/nova-triangle",
packages=find_packages(),
python_requires=">=3.8",
install_requires=[
"torch>=2.0",
"transformers>=4.30",
],
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Programming Language :: Python :: 3",
],
license="Apache-2.0",
)
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