Instructions to use Hsueh1001/try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hsueh1001/try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Hsueh1001/try")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Hsueh1001/try") model = AutoModelForObjectDetection.from_pretrained("Hsueh1001/try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 10.pt from Hsueh1001/try: direct link, hf CLI and curl.
- Browser
- Download file 74.8 MB
-
https://huggingface.co/Hsueh1001/try/resolve/main/10.pt
- Command line
-
hf download hf://Hsueh1001/try/10.pt
-
curl -L -o 10.pt https://huggingface.co/Hsueh1001/try/resolve/main/10.pt
74.8 MB
- Xet hash:
- b970eaaaf5d5f6ffd6fceeed134f11b7aaa6f3b7d8882777ddf691a8277c3cd3
- Size of remote file:
- 74.8 MB
- SHA256:
- fb36dfe2e65086d7df85136a9ad9aba882e9be4e32a99051ced47e8644121ad9
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