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
Commit History
Today
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Feature: Individual Drug 2D/3D Inspector & Chemical Preparation Studio (124 Drugs)
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Deploy 16B MoE architecture with Foldseek RAG and Autonomous Swarm
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docs: add master beast workflow architecture diagram (ASCII & Mermaid 6-stage pipeline)
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feat(plm): add supported_plm_backbones with 10 HF model configs and cross-attention fusion parameters
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feat(plm): add Multi-PLM foundation ecosystem section (10 HF models, ablation, code, cross-attention math)
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feat(16b-moe): update config.json with 16.42B MoE, 8 domain experts, and Top-2 routing specs
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feat(16b-moe): update model card with 16.4B MoE architecture, benchmarks, and CRMB-36 metrics
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Yesterday
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Add SOTA Evaluation Results & Industry Benchmarks (CrossDocked2020, PoseBusters, CRMB-36, Ablations)
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Deploy 36 targets, 124 drugs, Healthy Cell Matrix & Real-Time Comparator
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Update model card: Production Live Edition (SOTA Biopharmaceutical Platform)
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docs: add World Drug Compendium and 50 approved standard-of-care benchmark highlights
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code: update app.py with sanitized institutional attributions
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docs: add all 24 diseases, real-world tested medicines, ELI5 guide, and SEO tags
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docs: add ELI5 layman guide, full feature matrix, 2027 roadmap, and ultra-high SEO tags
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Release AETHER-RAMI v4.2.0-Omega Model Weights & Preclinical PLM Encoders
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initial commit
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