Instructions to use LyJinAoki/EEG-Captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LyJinAoki/EEG-Captioner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LyJinAoki/EEG-Captioner", device_map="auto") - PEFT
How to use LyJinAoki/EEG-Captioner with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download bundle.json from LyJinAoki/EEG-Captioner: direct link, hf CLI and curl.
- Browser
- Download file 1.08 kB
-
https://huggingface.co/LyJinAoki/EEG-Captioner/resolve/main/bundle.json
- Command line
-
hf download hf://LyJinAoki/EEG-Captioner/bundle.json
-
curl -L -o bundle.json https://huggingface.co/LyJinAoki/EEG-Captioner/resolve/main/bundle.json
1.08 kB
| { | |
| "schema": 1, | |
| "architecture": "dualdomain_spatial", | |
| "task": "joint", | |
| "base_model": "Qwen/Qwen2.5-Omni-7B", | |
| "eeg_units": "microvolts", | |
| "model_scale": 100, | |
| "source_encoder_sha256": "5f5248d957da8cc2b2cba577347bb8f87127eb67c1497196a59c1cd8bd4f57eb", | |
| "source_adapter_sha256": "964a59e4cfe6139906ed2934851ce95e582e148e3f4874921b22b95b889a16c1", | |
| "files": { | |
| "eeg_projector.pt": "57a70e0dedb8cc2e8fb0daf7a7f972bcb7cedd3be07390a9224e1ea53d003331", | |
| "encoder.pt": "060a5c0d9ac11543470038adbcbc5d9ba5828c1dc7c7d5097549435fbe28e989", | |
| "qwen_lora/adapter_config.json": "b7775e49c5ea406107932ce2f727adc5cb69f52ab57348aea655de919347b2db", | |
| "qwen_lora/adapter_model.safetensors": "964a59e4cfe6139906ed2934851ce95e582e148e3f4874921b22b95b889a16c1", | |
| "qwen_lora/chat_template.jinja": "d027e14db2e64eb2c23597240d42ea747b4fd5efd6e6a7604a990949c610f79c", | |
| "qwen_lora/tokenizer.json": "10c08c578c847dd988448f92b1592ba20c33ecac412e08401fdca1784cabda21", | |
| "qwen_lora/tokenizer_config.json": "e8ccceea28fe7426856ae92182aabd06971d70cd29f787a3ec50b083e16a4525" | |
| } | |
| } | |