braindecode/SignalJEPA-PostLocal-pretrained

⚠️ This repository is deprecated

The weights in this repository are kept online for archival purposes only. They are not compatible with current releases of braindecode and will not receive updates.

Please use the new repositories

The Signal-JEPA weights have been republished:

• braindecode/signal-jepa — full checkpoint including the 62-channel embedding table (for users whose recording channels are a subset of the Lee2019 pre-training layout).
• braindecode/signal-jepa_without-chans — SSL backbone only (channel embeddings trained from scratch on your data).

from braindecode.models import SignalJEPA

model = SignalJEPA.from_pretrained("braindecode/signal-jepa_without-chans")

See the docs for braindecode.models.SignalJEPA and the fine-tuning tutorial Fine-tuning a Foundation Model (Signal-JEPA).