Instructions to use shilpid/candy-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shilpid/candy-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shilpid/candy-finetuned")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shilpid/candy-finetuned") model = AutoModelForObjectDetection.from_pretrained("shilpid/candy-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a2c7d08f90bf43931947d596e85837bbaa030b45b18912864bae18a34726463
- Size of remote file:
- 167 MB
- SHA256:
- 0f14c3953f30a90f79eb2ceb9bf2c3c9849d97abd31f25649c566d4d87810720
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