Instructions to use omarhkh/CutLER-n-omary02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarhkh/CutLER-n-omary02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="omarhkh/CutLER-n-omary02")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("omarhkh/CutLER-n-omary02") model = AutoModelForObjectDetection.from_pretrained("omarhkh/CutLER-n-omary02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from omarhkh/CutLER-n-omary02: direct link, hf CLI and curl.
- Browser
- Download file 26 MB
-
https://huggingface.co/omarhkh/CutLER-n-omary02/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://omarhkh/CutLER-n-omary02/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/omarhkh/CutLER-n-omary02/resolve/main/pytorch_model.bin
26 MB
- Xet hash:
- 8d05b53e85b03ec5614b08a9b082c2e1e9f94cfa8becbab1e3cc55db4d916704
- Size of remote file:
- 26 MB
- SHA256:
- ce53a06b3c72c2452498f50a57a98388651ffe0b396e48ed1ffacde8c89baedb
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