Update README.md

README.md

@@ -1,15 +1,32 @@
 ---
+license: mit
 library_name: braindecode
-license: bsd-3-clause
 tags:
-- SignalJEPA_PostLocal
-- _BaseSignalJEPA
-- braindecode
-- model_hub_mixin
-- pytorch_model_hub_mixin
+  - deprecated
 ---
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Code: https://braindecode.org
-- Paper: [More Information Needed]
-- Docs: https://braindecode.org/stable/generated/braindecode.models.SignalJEPA_PostLocal.html
+# ⚠️ 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).