Instructions to use TopKek/plastic_detection_rn101_20ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TopKek/plastic_detection_rn101_20ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="TopKek/plastic_detection_rn101_20ep")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("TopKek/plastic_detection_rn101_20ep") model = AutoModelForObjectDetection.from_pretrained("TopKek/plastic_detection_rn101_20ep") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a212b171486534b8033144a708f71a41c6f8796d030b5ba7ff0433a59991fad1
- Size of remote file:
- 167 MB
- SHA256:
- c4f7b1aba7be772f2e199b0940334260c7b940c268f68caf39f14c4748bf6f43
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