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 .gitattributes from vosstalane/object-detection: direct link, hf CLI and curl.
- Browser
- Download file 107 Bytes
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https://huggingface.co/vosstalane/object-detection/resolve/main/.gitattributes
- Command line
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hf download hf://vosstalane/object-detection/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/vosstalane/object-detection/resolve/main/.gitattributes
107 Bytes
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| sample_image.png filter=lfs diff=lfs merge=lfs -text | |