Instructions to use MalyO2/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MalyO2/working with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="MalyO2/working")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("MalyO2/working") model = AutoModelForObjectDetection.from_pretrained("MalyO2/working") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50d0a47d1878cbfb05538cc543e292d5e096565298decd1f858b93071078955b
- Size of remote file:
- 5.24 kB
- SHA256:
- e444e60bf42cc9e28800dc4da76b86385c7f8ca1f2efaa39e9e144996e2fe27c
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