Instructions to use SirSkandrani/Object_Detection_for_Medical_Equipement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SirSkandrani/Object_Detection_for_Medical_Equipement with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SirSkandrani/Object_Detection_for_Medical_Equipement")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SirSkandrani/Object_Detection_for_Medical_Equipement") model = AutoModelForObjectDetection.from_pretrained("SirSkandrani/Object_Detection_for_Medical_Equipement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d83fcf0873e268b8662ec9dfe622d6906cdd3dadd711c8f5f8c8763fcaec7f0
- Size of remote file:
- 4.54 kB
- SHA256:
- 19ee53ac2eb4821e47fbcb496355deab2a4f7fb89ccec4f74f3a3564975e852e
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