---
library_name: transformers
tags:
- eeg
- decoding
---

# Cobbs_Head

## Model Details

- **Developed by:** Dukee2506 (private competition release)
- **Model type:** Transformer-based sequence model
- **Languages:** English
- **License:** Research-only, non-commercial
- **Base model:** Private pre-trained backbone (not disclosed)

## Intended Use

This model is provided for a closed competition task.  
It is intended to decode sequential biosignal inputs into text.  

### Direct Use
- Running inference on provided competition data.  

### Out-of-Scope Use
- Any deployment outside research/competition setting.  
- Using with unrelated modalities or datasets.  

## Training Data

The model was adapted on a curated subset of aligned signals and transcripts.  
Exact dataset details are withheld for fairness in the competition.  

## Evaluation

- Task: Sentence-level decoding on hidden test data  

## Quick Start

```python
from transformers import AutoModelForPreTraining

model = AutoModelForPreTraining.from_pretrained("Dukee2506/Cobbs_Head")
```