Instructions to use camstack/camstack-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use camstack/camstack-trainer 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("camstack/camstack-trainer", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
camstack-train 0.1.0: YOLOv9 root detector fine-tune (job.json in, result.json + bundle.tar out)
ebeed67 verified Download camstack_train/__main__.py from camstack/camstack-trainer: direct link, hf CLI and curl.
- Browser
- Download file 88 Bytes
-
https://huggingface.co/camstack/camstack-trainer/resolve/main/camstack_train/__main__.py
- Command line
-
hf download hf://camstack/camstack-trainer/camstack_train/__main__.py
-
curl -L -o __main__.py https://huggingface.co/camstack/camstack-trainer/resolve/main/camstack_train/__main__.py
88 Bytes
| from __future__ import annotations | |
| import sys | |
| from .cli import main | |
| sys.exit(main()) | |