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---
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")
``` |