Instructions to use rishabh063/detrSubject with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishabh063/detrSubject with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="rishabh063/detrSubject")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("rishabh063/detrSubject") model = AutoModelForObjectDetection.from_pretrained("rishabh063/detrSubject", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rishabh063/detrSubject: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/rishabh063/detrSubject/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rishabh063/detrSubject/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rishabh063/detrSubject/resolve/main/pytorch_model.bin
123 MB
- Xet hash:
- cad5c41e76e1cfd603897a069d2ac3dd1b6d8f1bdacb747ad8a182166f1c5dbc
- Size of remote file:
- 123 MB
- SHA256:
- 14d29283f01ed62d63d91b48871e9c8d6339062f6181d99405e8276c2cbac451
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