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cerebellum_setup11_nuc_32nm_190000
cellmap/cerebellum_setup11_nuc_32nm_190000
cerebellum_setup11_nuc_32nm_190000 is a machine learning model from cellmap. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for cellmap-models. The card lists the license as bsd-3-clause.
Fly StandardUnet model selected for cerebellum inference. Channel: nuc. Used for: jrcmus-cerebellum-1 nuc, jrcmus-cerebellum-3 nuc. Source YAMLs: /groups/cellmap/cellmap/zouinkhim/expcerebellum/inference/nuc/jrcmus-ce…
Access
Public
Updated Jul 7, 2026
Repo size
9.5 GB
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Repo makeup
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.pt23.2 GB · 33%
At a glance
- Library
- cellmap-models
- License
- bsd-3-clause
- Access
- Public
- Created
- Jul 7, 2026
- Updated
- Jul 7, 2026
- SHA
- a29d2165
Model card
From the Hugging Face model README
cerebellum_setup11_nuc_32nm_190000
Fly StandardUnet model selected for cerebellum inference. Channel: nuc. Used for: jrc_mus-cerebellum-1 nuc, jrc_mus-cerebellum-3 nuc. Source YAMLs: /groups/cellmap/cellmap/zouinkhim/exp_cerebellum/inference/nuc/jrc_mus-cerebellum-1/run.yaml, /groups/cellmap/cellmap/zouinkhim/exp_cerebellum/inference/nuc/jrc_mus-cerebellum-3/run.yaml.
Model Details
| Architecture | StandardUnet |
| Framework | torch |
| Spatial Dims | 3 |
| Input Channels | 1 |
| Output Channels | 1 |
| Channel Names | nuc |
| Iteration | 190000 |
| Input Voxel Size | 32, 32, 32 nm |
| Output Voxel Size | 32, 32, 32 nm |
| Inference Input Shape | 378, 378, 378 |
| Inference Output Shape | 256, 256, 256 |
Available Formats
| File | Format | Usage |
|---|---|---|
model.pt | PyTorch pickle | torch.load("model.pt") |
model.ts | TorchScript | torch.jit.load("model.ts") |
model.onnx | ONNX | onnxruntime.InferenceSession("model.onnx") |
metadata.json | JSON | Model metadata |
Usage
pip install cellmap-models
from cellmap_models.model_export.cellmap_model import CellmapModel
model = CellmapModel("path/to/model/folder")
# Inference
output = model.ts_model(input_tensor)
# Finetuning
trainable_model = model.train()
Or download from this repo and load directly:
from huggingface_hub import snapshot_download
from cellmap_models.model_export.cellmap_model import CellmapModel
path = snapshot_download(repo_id="cerebellum_setup11_nuc_32nm_190000")
model = CellmapModel(path)
Author
CellMap Project Team, HHMI Janelia
Links
- Library
- cellmap-models
- License
- bsd-3-clause
- Created
- Jul 7, 2026
- Updated
- Jul 7, 2026