Instructions to use vosstalane/object-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vosstalane/object-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="vosstalane/object-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("vosstalane/object-detection") model = AutoModelForObjectDetection.from_pretrained("vosstalane/object-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_image.png from vosstalane/object-detection: direct link, hf CLI and curl.
- Browser
- Download file 795 kB
-
https://huggingface.co/vosstalane/object-detection/resolve/main/sample_image.png
- Command line
-
hf download hf://vosstalane/object-detection/sample_image.png
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curl -L -o sample_image.png https://huggingface.co/vosstalane/object-detection/resolve/main/sample_image.png
795 kB

- Xet hash:
- 88abc34a952da734d14eab1c6401ba9f77b1287622ec5f221eb485f7ecd910c3
- Size of remote file:
- 795 kB
- SHA256:
- e9df36ba15d8d2fdd45f91c39e510214976f9dc60b4664e22dd5d8008e4e61d1
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