Instructions to use BAAI/Brainmu-SpikeCamera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/Brainmu-SpikeCamera with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import SpikeConvFrontend model = SpikeConvFrontend.from_pretrained("BAAI/Brainmu-SpikeCamera", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download src/NOTICE from BAAI/Brainmu-SpikeCamera: direct link, hf CLI and curl.
- Browser
- Download file 542 Bytes
-
https://huggingface.co/BAAI/Brainmu-SpikeCamera/resolve/main/src/NOTICE
- Command line
-
hf download hf://BAAI/Brainmu-SpikeCamera/src/NOTICE
-
curl -L -o NOTICE https://huggingface.co/BAAI/Brainmu-SpikeCamera/resolve/main/src/NOTICE
542 Bytes
| Brainmu | |
| This distribution is a renamed and adapted reconstruction research project. | |
| The model backend derives from BAGEL, https://github.com/ByteDance-Seed/Bagel. | |
| Upstream copyright and license notices in source files remain applicable. | |
| Modified backend files carry a namespace-change notice. This is not a claim | |
| that the upstream architecture or pretrained model was originally authored here. | |
| Model weights, datasets, and their licenses are not included in this source release. | |
| An upstream commit was not available in the migrated checkout. | |