Instructions to use datasolin/sam-3d-objects-mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SAM 3D Objects
How to use datasolin/sam-3d-objects-mirror with SAM 3D Objects:
from inference import Inference, load_image, load_single_mask from huggingface_hub import hf_hub_download path = hf_hub_download("datasolin/sam-3d-objects-mirror", "pipeline.yaml") inference = Inference(path, compile=False) image = load_image("path_to_image.png") mask = load_single_mask("path_to_mask.png", index=14) output = inference(image, mask) - Notebooks
- Google Colab
- Kaggle
Download checkpoints/ss_decoder.ckpt from datasolin/sam-3d-objects-mirror: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/datasolin/sam-3d-objects-mirror/resolve/main/checkpoints/ss_decoder.ckpt
- Command line
-
hf download hf://datasolin/sam-3d-objects-mirror/checkpoints/ss_decoder.ckpt
-
curl -L -o ss_decoder.ckpt https://huggingface.co/datasolin/sam-3d-objects-mirror/resolve/main/checkpoints/ss_decoder.ckpt
148 MB
- Xet hash:
- 975f4bca7dca3d56140d9d85f523d3ec1be3577d2291edeaeaa38605e4245eee
- Size of remote file:
- 148 MB
- SHA256:
- 6dac1cd7b7fda5a38e0614fadae441f1794f80e39ea2981f1ac8aff0a7e99340
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