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:
- 8551c2f42cc746fedc6a2c19d919a59c93b8453bc3e1d7f1b9801031d77f1c75
- Size of remote file:
- 3.96 kB
- SHA256:
- 3536d086c501925968cf73506d08498de7d760da3f442b8151a0000c41650a7b
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