Instructions to use SharpAI/yolo11s-coreml-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use SharpAI/yolo11s-coreml-fp16 with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("SharpAI/yolo11s-coreml-fp16", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download yolo11s_mlpackage_fp16_auto.zip from SharpAI/yolo11s-coreml-fp16: direct link, hf CLI and curl.
- Browser
- Download file 17.6 MB
-
https://huggingface.co/SharpAI/yolo11s-coreml-fp16/resolve/main/yolo11s_mlpackage_fp16_auto.zip
- Command line
-
hf download hf://SharpAI/yolo11s-coreml-fp16/yolo11s_mlpackage_fp16_auto.zip
-
curl -L -o yolo11s_mlpackage_fp16_auto.zip https://huggingface.co/SharpAI/yolo11s-coreml-fp16/resolve/main/yolo11s_mlpackage_fp16_auto.zip
17.6 MB
- Xet hash:
- 497f7b6c164df493be2bfbfad8c7ca541970b101f1d0ff7ef7fd1e7dd24e6d32
- Size of remote file:
- 17.6 MB
- SHA256:
- 17452c9a5dcaa19c24d724b35df8c8e03fecda37dd43e3aadfb3d70379938a00
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