Instructions to use gubringa/yolo_finetuned_fruits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gubringa/yolo_finetuned_fruits with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gubringa/yolo_finetuned_fruits")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gubringa/yolo_finetuned_fruits") model = AutoModelForObjectDetection.from_pretrained("gubringa/yolo_finetuned_fruits", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7de4391776bee8ba6b4ed6d875c22b997542ee37c7d021e8b3a864f07ac897f
- Size of remote file:
- 5.3 kB
- SHA256:
- 4f4ef6049a534d8a977fc2df1eaaf1df6e45513b8f30d49e7bf44fa997f4a97a
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