Instructions to use RGBD-SOD/bbsnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RGBD-SOD/bbsnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RGBD-SOD/bbsnet", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RGBD-SOD/bbsnet", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73cdcf4729b8a9af669bc21a22c8093cb38660bb1c4a32c652dda686a7617be1
- Size of remote file:
- 200 MB
- SHA256:
- 3ce7a2181c42b75de7cfc2c5c2a86dfa1c84dc9dbe2bb420cffc9e8da67c3492
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