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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07cf2add15d3031c8c76e1ddbc40987dc1e3b4a8dd3b6f4f277e0c9505f346ed
- Size of remote file:
- 5.24 kB
- SHA256:
- db0e302111c9f8a44ab6f932496697e6216bd579fb26a687822b9d8ef5a518d7
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