Instructions to use jaimin/ObjectDetect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/ObjectDetect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jaimin/ObjectDetect")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jaimin/ObjectDetect") model = AutoModelForObjectDetection.from_pretrained("jaimin/ObjectDetect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93302138ff7240b9ac515cc40c6916f8520f7ca838209c4b85b757703bb3ece0
- Size of remote file:
- 243 MB
- SHA256:
- 86cec5ddf787238c249f1eee18c67d403ae04bf74b062766adfcc075ae467809
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