Instructions to use av0512/DETR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use av0512/DETR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="av0512/DETR")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("av0512/DETR") model = AutoModel.from_pretrained("av0512/DETR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e78cc71f8d71dfa4902fb8077353660c8e0366e34c43610f5957c205f21cf68f
- Size of remote file:
- 37.6 MB
- SHA256:
- b01798839ca5388d8c24ffac81b184eb7657d1641c2737863af0f8e55e225025
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