LyJinAoki/EEG-Captioner
AI model by LyJinAoki
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This repository contains the portable inference weights for EEG-Captioner: Grounding EEG-to-Language Generation in Fundamental Signal Properties. It includes a Dual-Domain EEG Encoder, an EEG-to-language projector, and a LoRA adapter for the Qwen2.5-Omni-7B Thinker. It does not include the Qwen base model, TUEG recordings, patient data, optimizer states, or annotation-service credentials. The bundle is approximately 66 MiB. The base model must be obtained separately from Qwen/Qwen2.5-Omni-7B. Source code, preprocessing, training configurations, evaluation, and validation notes are available at: https://github.com/lyJinAoki/EEG-Captioner Download this model repository into checkpoints/final and point QWENPATH to a local Qwen2.5-Omni-7B snapshot: For signal-level QA, add --question 'YOUR QUESTION'. See the GitHub README for EDF preprocessing and supported questions. FP1 FP2 F3 F4 C3 C4 P3 P4 O1 O2 OZ F7 F8 T3 T4 T5 T6 FZ CZ PZ. Use the preprocessing implementation in the associated GitHub repository to avoid introducing a different channel, unit, filtering, or segmentation convention. The…
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- EEG-Captioner
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- Training and evaluation provenance
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Model overview
LyJinAoki/EEG-Captioner is a task-unspecified model repository published by LyJinAoki on Hugging Face. The source reports the transformers library.
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Model facts
- Task
- Not reported
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-22T06:34:03.000Z
- Last modified
- 2026-10-22T06:36:16.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen2.5-Omni-7B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-22T06:45:03.943Z. Daily imports are snapshots, not real-time monitoring.
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