| --- |
| license: mit |
| library_name: braindecode |
| tags: |
| - deprecated |
| --- |
| |
| # ⚠️ 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](https://braindecode.org/) and will not receive updates. |
|
|
| ## Please use the new repositories |
|
|
| The Signal-JEPA weights have been republished: |
|
|
| - [`braindecode/signal-jepa`](https://huggingface.co/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`](https://huggingface.co/braindecode/signal-jepa_without-chans) |
| — SSL backbone only (channel embeddings trained from scratch on your data). |
|
|
| ```python |
| from braindecode.models import SignalJEPA |
| |
| model = SignalJEPA.from_pretrained("braindecode/signal-jepa_without-chans") |
| ``` |
|
|
| See the docs for [`braindecode.models.SignalJEPA`](https://braindecode.org/stable/generated/braindecode.models.SignalJEPA.html) |
| and the fine-tuning tutorial |
| [Fine-tuning a Foundation Model (Signal-JEPA)](https://braindecode.org/stable/auto_examples/advanced_training/plot_finetune_foundation_model.html). |
|
|
