Instructions to use ciasimbaya/ObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ciasimbaya/ObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ciasimbaya/ObjectDetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ciasimbaya/ObjectDetection") model = AutoModelForObjectDetection.from_pretrained("ciasimbaya/ObjectDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bdad82950da79024542f9249987f38645f99c902155efd780f78ab86a69b2ac
- Size of remote file:
- 243 MB
- SHA256:
- 7bd3d719aaea1dc63844e7ced0c820fa5e4cc7b041beea54f18559a88717f287
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