Instructions to use chayanee/Detected_img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chayanee/Detected_img with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="chayanee/Detected_img")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("chayanee/Detected_img") model = AutoModelForObjectDetection.from_pretrained("chayanee/Detected_img", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from chayanee/Detected_img: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/chayanee/Detected_img/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://chayanee/Detected_img@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chayanee/Detected_img/resolve/refs%2Fpr%2F1/pytorch_model.bin
167 MB
- Xet hash:
- 6ab190f0463c458e3fc3a634bd20be0d24c21d0e4c45b519f027870be7869199
- Size of remote file:
- 167 MB
- SHA256:
- c560657017d19d334bb6f0d0f51eee92b7a3d873b4603f4e4f08f90050ae9efa
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