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braindecode/
SleepFM

Name: SleepFM
Rating: 2.5 (16 reviews)

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SleepFM — pretrained encoder

Mirror of the official SleepFM encoder checkpoint, re-hosted for stable loading from Braindecode.

SleepFM is a multimodal polysomnography (PSG) foundation model introduced in:

R. Thapa et al., "A multimodal sleep foundation model for disease prediction," Nature Medicine (2026). https://doi.org/10.1038/s41591-025-04133-4

The downstream sleep stager lives in a separate repository, braindecode/SleepFMStager, because a Braindecode config.json describes exactly one architecture.

Files

File	Description
`model.safetensors`	The encoder, with the parameter names of `braindecode.models.SleepFM`
`config.json`	Architecture of the checkpoint, read by `from_pretrained()`
`model_base/best.pt`	The upstream artifact, byte-for-byte, kept for provenance
`model_sleep_staging/best.pth`	The upstream staging artifact, byte-for-byte (see `SleepFMStager`)

model.safetensors holds the same tensors as model_base/best.pt; only the keys were rewritten (the module. prefix of the distributed training run stripped, and positional_encoding.pe renamed) so that the library needs no remapping code at load time. Loading either way gives bit-identical outputs.

Note that the released encoder is contrastive and carries no classification head: final_layer is randomly initialised and must be fine-tuned.

Usage

python

from braindecode.models import SleepFM

# Defaults to this repository.
model = SleepFM.from_pretrained(n_chans=4, n_outputs=5, n_times=3840, sfreq=128)
model.eval()

Input must be sampled at 128 Hz; the reference patch_size=640 is a 5-second patch at that rate. A channel mask of shape (batch, n_chans) marks missing channels with True.

License & attribution

License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
Upstream source: https://github.com/zou-group/sleepfm-clinical

These weights are not covered by Braindecode's BSD-3 license and inherit the upstream noncommercial terms. Re-hosted for reproducibility and stable availability only; attribution and the CC BY-NC 4.0 restriction are preserved.