> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neuroencoder.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Python SDK for the EPI-Embedding MRL model

```bash theme={null}
pip install neuroencoder
```

Neuroencoder serves the **EPI-Embedding MRL** model — a Matryoshka-distilled version of EPI-250k, our EEG foundation model trained on 250,000 hours of clinical EEG. The distilled model produces a 768-dimensional embedding that you can truncate to any of `768, 384, 192, 48, 16` dimensions in a single forward pass.

```python theme={null}
import neuroencoder as ne
from neuroencoder import MRL

model = MRL.from_pretrained()
embeddings = model.embed(eeg, sfreq=256, channel_names=ch_names, dim=192)

ne.explore(embeddings)
```

<CardGroup cols={2}>
  <Card title="Embeddings" icon="layer-group" href="/embeddings">
    Use the MRL model end-to-end
  </Card>

  <Card title="Visualization" icon="compass" href="/visualization">
    Interactive Apple Embedding Atlas
  </Card>
</CardGroup>