Instructions to use JoeDanzer/detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoeDanzer/detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="JoeDanzer/detect")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JoeDanzer/detect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download best.pt from JoeDanzer/detect: direct link, hf CLI and curl.
- Browser
- Download file 6.21 MB
-
https://huggingface.co/JoeDanzer/detect/resolve/main/best.pt
- Command line
-
hf download hf://JoeDanzer/detect/best.pt
-
curl -L -o best.pt https://huggingface.co/JoeDanzer/detect/resolve/main/best.pt
6.21 MB
- Xet hash:
- 361cd68a333611b72776969c044f4e6aa691e2d9b837fbce1a2168fde3865b6d
- Size of remote file:
- 6.21 MB
- SHA256:
- 54b43432fc15404fb31329f49da95500ce4e6094f5bafbda0b70e9d3369eafe2
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