DMRI pretrained checkpoints
Pretrained checkpoints for mackelab/dmri, stored as portable Orbax bundles with their frozen Hydra configuration.
| Model | Width | Best step | Bundle size |
|---|---|---|---|
b3s_2_4_6_64 |
64 | 2,640,000 | 55 MB |
b3s_2_4_6_128 |
128 | 1,800,000 | 123 MB |
Load a model
from flax import nnx
from dmri.train.utils import load_checkpoint
checkpoint, model, simulators = load_checkpoint(
repo_id="manugloeck/dmri-pretrained",
model_name="b3s_2_4_6_64",
which="best",
)
params = checkpoint.get("params_ema", checkpoint["params"])
nnx.update(model, params)
model.eval()
Only the requested model subfolder is downloaded and cached by huggingface_hub.
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