Instructions to use LibreYOLO/LibreMoGe3g-normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LibreYOLO
How to use LibreYOLO/LibreMoGe3g-normal with LibreYOLO:
# 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
Download NOTICE from LibreYOLO/LibreMoGe3g-normal: direct link, hf CLI and curl.
- Browser
- Download file 731 Bytes
-
https://huggingface.co/LibreYOLO/LibreMoGe3g-normal/resolve/main/NOTICE
- Command line
-
hf download hf://LibreYOLO/LibreMoGe3g-normal/NOTICE
-
curl -L -o NOTICE https://huggingface.co/LibreYOLO/LibreMoGe3g-normal/resolve/main/NOTICE
731 Bytes
| LibreMoGe3 weights | |
| ------------------ | |
| This product contains weights derived from MoGe-3 | |
| (https://github.com/microsoft/MoGe, commit 74fbce054ebed49800de42d0ad0e83495065719a). | |
| Copyright (c) Microsoft Corporation. | |
| Licensed under the MIT License. | |
| Source artifact: https://huggingface.co/Ruicheng/moge-3-vitg | |
| Source revision: 6ef26c5a4b4148dab5ccaacdb08b72dc66380475 | |
| Source file: model.pt | |
| Modification: none to learned parameters; LibreYOLO checkpoint v1.0 | |
| metadata is added by weights/convert_moge3_weights.py in | |
| LibreYOLO. | |
| The DINOv2 encoder these weights build on is separately licensed under the | |
| Apache License, Version 2.0, by Meta AI | |
| (https://github.com/facebookresearch/dinov2). | |