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  ---
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  license: mit
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  ---
 
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  # Usage
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- **Instantiate the base model**
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  ```python
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  from braindecode.models import SignalJEPA
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  from huggingface_hub import hf_hub_download
@@ -27,10 +28,14 @@ assert unexpected_keys == []
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  assert set(missing_keys) == {"pos_encoder.pos_encoder_spat.weight"}
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  ```
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- **Instantiate the downstream architectures**
 
 
 
 
 
 
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- The downstream architectures are equipped with a classification head.
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- See the article [arXiv:2403.11772](https://arxiv.org/abs/2403.11772) for more details.
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  ```python
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  from braindecode.models import (
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  SignalJEPA_Contextual,
 
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  ---
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  license: mit
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  ---
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+ ![sjepa](https://cdn-uploads.huggingface.co/production/uploads/646e0135174cc96d509582a6/DS-cXrFyxZ78hK48ft0iU.png)
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  # Usage
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+ **Instantiate the Base Model**
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  ```python
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  from braindecode.models import SignalJEPA
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  from huggingface_hub import hf_hub_download
 
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  assert set(missing_keys) == {"pos_encoder.pos_encoder_spat.weight"}
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  ```
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+ **Instantiate the Downstream Architectures**
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+
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+ Contrary to the base model, the downstream architectures are equipped with a classification head which is not pre-trained.
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+ Guetschel et al. (2024) [arXiv:2403.11772](https://arxiv.org/abs/2403.11772) introduce three downstream architectures:
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+ - a) Contextual downstream architecture
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+ - b) Post-local downstream architecture
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+ - c) Pre-local architecture
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  ```python
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  from braindecode.models import (
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  SignalJEPA_Contextual,