Instructions to use henryn/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryn/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="henryn/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("henryn/detr") model = AutoModelForObjectDetection.from_pretrained("henryn/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from henryn/detr: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/henryn/detr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://henryn/detr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/henryn/detr/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- 0c900a957d9e28b7fba89632b75c520718c04a9fc42465eb0634a247475d57de
- Size of remote file:
- 167 MB
- SHA256:
- fd18b78b4250d23d8bb386aca9d7ec63cff56fa37710695444c7b4d1fcff68d3
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