Instructions to use RGBD-SOD/custom-resnet50d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RGBD-SOD/custom-resnet50d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RGBD-SOD/custom-resnet50d", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RGBD-SOD/custom-resnet50d", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 316458dd696ea26e1990c90c8fe0ed8b2c0919aa68fe7f9245a0c3c471944ee1
- Size of remote file:
- 103 MB
- SHA256:
- c2e8b04c4def7ce6efa549445f1e9c07235aea7042a62cb213538b9eb3aae3f9
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