Instructions to use Hsueh1001/yolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hsueh1001/yolo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Hsueh1001/yolo")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Hsueh1001/yolo") model = AutoModelForObjectDetection.from_pretrained("Hsueh1001/yolo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update config.json
7e68444 -
Update preprocessor_config.json
b8304e6 -
Update config.json
3c60371 -
Upload pytorch_model.bin
f52d286 -
Delete model.safetensors
5900ac8 -
Upload YolosForObjectDetection
0222459 -
Upload YolosForObjectDetection
335ade7 -
Update config.json
06764fd -
Upload YolosForObjectDetection
1898672 -
Upload YolosForObjectDetection
c1848c3 -
Upload yolov7.pt
4312676 -
Upload processor
72ba22a -
Upload YolosForObjectDetection
47a5186 -
Upload processor
2c89067 -
Upload YolosForObjectDetection
68c3ea2
-
initial commit
5958248