Instructions to use driesverachtert/basic_shapes_object_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use driesverachtert/basic_shapes_object_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="driesverachtert/basic_shapes_object_detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("driesverachtert/basic_shapes_object_detection") model = AutoModelForObjectDetection.from_pretrained("driesverachtert/basic_shapes_object_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d29d9c2ef3c54caafd2c3cf0fd4edea5034b69ef9d01afcf68813ba0875c2f
- Size of remote file:
- 166 MB
- SHA256:
- c0cb2f3a8654d467eff3b7776956d38cb9d119e964dfb7e53373c44f2c9c4d5d
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