Instructions to use keffy/hvc_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keffy/hvc_model 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("keffy/hvc_model", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 324 Bytes
b6e11c4 02c7d22 b6e11c4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"model_name": "Rock vs Non-Rock YOLOv8 Model",
"framework": "ultralytics",
"task": "object-detection",
"weights": "best.pt",
"config_file": "config.yaml",
"id2label": {
"0": "rock",
"1": "non-rock"
},
"description": "Detects rock and non-rock objects.",
"license": "MIT",
"author": "HVC TRU"
}
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