Instructions to use nicky007/RotiDetectioDTR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicky007/RotiDetectioDTR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="nicky007/RotiDetectioDTR")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("nicky007/RotiDetectioDTR") model = AutoModelForObjectDetection.from_pretrained("nicky007/RotiDetectioDTR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9f4557d782a2ca248073d3dd1a94932ec2117523fe3ee79f886f78fac6203d8
- Size of remote file:
- 167 MB
- SHA256:
- b586e6ad60d97d8e67a548883d11d9f2dfcb254bf6cf1aae0cdcbae3d385ae76
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