Instructions to use HichTala/DiffusionDet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HichTala/DiffusionDet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="HichTala/DiffusionDet", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HichTala/DiffusionDet", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f0142383966484f80d3af6835743b13ca9b1e24844b55ed8c80f3fd02ce4867
- Size of remote file:
- 443 MB
- SHA256:
- d10cceefec40f9708688e70ee509c4e8b485de3d07a88e1933f24eb46b8b6634
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