Instructions to use MedicalVision/test_remove with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MedicalVision/test_remove with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="MedicalVision/test_remove")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("MedicalVision/test_remove") model = AutoModelForObjectDetection.from_pretrained("MedicalVision/test_remove") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c95dcc7cabf88471b5b082f6dca6018a5e54304f0312af804f86ab597e33efa
- Size of remote file:
- 25.9 MB
- SHA256:
- 3a66ba04a6a0e8414e657874b1095f9870bb12496c5406b2c54a0725d3de21dc
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