Instructions to use SenseTime/deformable-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SenseTime/deformable-detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SenseTime/deformable-detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SenseTime/deformable-detr") model = AutoModelForObjectDetection.from_pretrained("SenseTime/deformable-detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SenseTime/deformable-detr: direct link, hf CLI and curl.
- Browser
- Download file 161 MB
-
https://huggingface.co/SenseTime/deformable-detr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SenseTime/deformable-detr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SenseTime/deformable-detr/resolve/main/pytorch_model.bin
161 MB
- Xet hash:
- 37cd3fcb26c3acbd481907c72eca415cf86160d59ba14f594af611fba16bbff1
- Size of remote file:
- 161 MB
- SHA256:
- 3a89e8ef9b6435b6ea92934a69bd4daca6f26d408703eaa110efbeafad215324
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