Feature Extraction
Transformers
Safetensors
aether_rami_moe
biology
chemistry
drug-discovery
ai-drug-discovery
computational-biology
esm2
diffsbdd
structure-based-drug-design
mixture-of-experts
Mixture of Experts
16b
flow-matching
kras-g12c
kras-g12d
tuberculosis
malaria
sickle-cell
pharmacopeia
posebusters
crossdocked2020
custom_code
Instructions to use Premchan369/aether-rami-esm2-diffsbdd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Premchan369/aether-rami-esm2-diffsbdd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Premchan369/aether-rami-esm2-diffsbdd", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Premchan369/aether-rami-esm2-diffsbdd", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download setup.py from Premchan369/aether-rami-esm2-diffsbdd: direct link, hf CLI and curl.
- Browser
- Download file 1.46 kB
-
https://huggingface.co/Premchan369/aether-rami-esm2-diffsbdd/resolve/main/setup.py
- Command line
-
hf download hf://Premchan369/aether-rami-esm2-diffsbdd/setup.py
-
curl -L -o setup.py https://huggingface.co/Premchan369/aether-rami-esm2-diffsbdd/resolve/main/setup.py
1.46 kB
| from setuptools import setup, find_packages | |
| setup( | |
| name="aether-rami", | |
| version="16.0.0-MoE", | |
| author="Premchand Yadav", | |
| author_email="premchand.yadav2021@vitap.ac.in", | |
| description="Unified 16B Mixture-of-Experts Deep Learning for De Novo 3D Biopharmaceutical Discovery & Secondary Resistance Bypass", | |
| long_description=open("README.md", encoding="utf-8").read(), | |
| long_description_content_type="text/markdown", | |
| url="https://premchandyadav1.vercel.app/", | |
| project_urls={ | |
| "Hugging Face": "https://huggingface.co/premchandyadav/aether-rami-esm2-diffsbdd", | |
| "Author Portfolio": "https://premchandyadav1.vercel.app/", | |
| }, | |
| packages=find_packages(), | |
| py_modules=["modeling_aether_rami", "configuration_aether_rami", "pipeline_aether_rami", "foldseek_rag", "pharmacology_engine", "discovery_swarm"], | |
| classifiers=[ | |
| "Programming Language :: Python :: 3", | |
| "License :: OSI Approved :: Apache Software License", | |
| "Operating System :: OS Independent", | |
| "Topic :: Scientific/Engineering :: Bio-Informatics", | |
| "Topic :: Scientific/Engineering :: Chemistry", | |
| "Topic :: Scientific/Engineering :: Artificial Intelligence", | |
| ], | |
| install_requires=[ | |
| "torch>=2.0.0", | |
| "transformers>=4.30.0", | |
| "safetensors>=0.4.0", | |
| "huggingface_hub>=0.20.0", | |
| "numpy>=1.24.0", | |
| ], | |
| python_requires=">=3.9", | |
| ) | |