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@@ -71,12 +71,6 @@ epochs = fused[: n * 30].reshape(n, 30, -1).mean(axis=1) # over 30-s epochs ->
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  EEG/EOG channels are contralaterally referenced (e.g. C3-M2); Chin EMG is a bipolar
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  derivation; ECG/respiratory are used directly. Embedding dimension is 768.
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- ## Devices
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-
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- CUDA and CPU are supported. **Apple Silicon (MPS) is not** — PyTorch's `flex_attention` has no
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- Metal kernel, so on a Mac use `device="cpu"` (a 2-minute clip embeds in a few seconds; a full
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- night takes ~1 minute).
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-
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  ## Format
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  `hypnos.safetensors` — weights under namespaced keys (`model/…`, `tok/<name>/…`)
 
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  EEG/EOG channels are contralaterally referenced (e.g. C3-M2); Chin EMG is a bipolar
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  derivation; ECG/respiratory are used directly. Embedding dimension is 768.
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  ## Format
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  `hypnos.safetensors` — weights under namespaced keys (`model/…`, `tok/<name>/…`)