Instructions to use semjon00/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semjon00/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="semjon00/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("semjon00/detr") model = AutoModelForObjectDetection.from_pretrained("semjon00/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from semjon00/detr: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/semjon00/detr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://semjon00/detr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/semjon00/detr/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- 4ee34d9d62895c7791872cdbfc0bd94eb35f448cdfcc01273393c728da6895f3
- Size of remote file:
- 167 MB
- SHA256:
- 29460bd7af337bee71cf780d39a178d88d1c9463c4f5a04b90a9d630525d24b2
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