Instructions to use FathomNet/2025-MBARI-Benthic-Supercategory-Object-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- YOLOv26
How to use FathomNet/2025-MBARI-Benthic-Supercategory-Object-Detector with YOLOv26:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 59d5728ee8efc9ed153aa494988ed6331ab2dc2cc1167b1f52f0341ac701e907
- Size of remote file:
- 324 kB
- SHA256:
- dcd298d7412cbad253d0b0f0ddd2b32dde6ea0138d2eb1319bb49fc08083898b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.