Instructions to use SMLBuilder/MLX_SAM3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SMLBuilder/MLX_SAM3 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download SMLBuilder/MLX_SAM3 --local-dir MLX_SAM3
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
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Luke A KistVerified signaturesam3_mlx/ βββ LICENSE (MIT) βββ README.md (Professional docs with badges) βββ CONTRIBUTING.md (Contribution guidelines) βββ pyproject.toml (pip installation) βββ requirements.txt βββ .gitignore β βββ models/ β βββ attention.py (RoPE Multi-Head Attention) β βββ hiera.py (Hierarchical Vision Encoder) β βββ prompt_encoder.py (Point/Box/Mask encoding) β βββ mask_decoder.py (Two-way transformer) β βββ sam3.py (Complete SAM3 model) β βββ utils/ β βββ weights.py (Weight loading/saving) β βββ examples/ β βββ click_segment.py (Working demo) β βββ tests/ βββ test_models.py (Component validation) βββ benchmark.py (Performance metrics)ced11e2