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:
- eaa552ae75d2dc57cc519204c182d953938c710e520ba6efd3722edd688ce425
- Size of remote file:
- 534 kB
- SHA256:
- 2a19a61490b7408dac6f229eee7b33b236b383fa924786cc038fc03b9c436cc5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.