Instructions to use embedl/sam-3d-body with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SAM 3D Body
How to use embedl/sam-3d-body with SAM 3D Body:
from notebook.utils import setup_sam_3d_body estimator = setup_sam_3d_body(embedl/sam-3d-body) outputs = estimator.process_one_image(image) rend_img = visualize_sample_together(image, outputs, estimator.faces)
- TensorRT
How to use embedl/sam-3d-body with TensorRT:
# 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:
- a0fccfba91f172434d3355621b9960b85f89411eaf9b1c1af972a424238a1481
- Size of remote file:
- 845 kB
- SHA256:
- d46f926e8067b79a18a8e657b93d8998e4aec63ec06dc6bd36814a29aafe840a
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