Feature Extraction
Transformers
Safetensors
malecns
connectome
fruit-fly
drosophila
neuroscience
graph
custom_code
Instructions to use QuixiAI/MaleCNS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuixiAI/MaleCNS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="QuixiAI/MaleCNS", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QuixiAI/MaleCNS", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model card: training on this graph with connectome-kernels
Verified signature913e2e4 -
Citation: DOI 10.57967/hf/10410
Verified signaturea74af1f
-
Citation: BibTeX month macro and page-range dash
Verified signature91e441a -
Citation title includes the repo id
Verified signature915c06d -
Model card: stand-alone; no FlyGPT references beyond build-script provenance
Verified signature07ac6ff -
Citation key: hartford2026malecns
Verified signature24402ea -
Model card: Citation section (cite this repository and the MaleCNS paper)
Verified signature64027b7 -
Model card: BibTeX for Berg et al. 2026 and for this repository
Verified signaturedfbbc69 -
Update README.md
Verified signatured799453 -
Model card: lead with fly-llm-hf and the high-level differences
Verified signature6330780 -
Model card: move the fly-llm-hf comparison up, directly after the summary
Verified signature10f8f4d -
MaleCNS v1.0 connectivity tables, lossless safetensors packaging (CC-BY 4.0)
Verified signatureb2456c1