Instructions to use junaidumar/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junaidumar/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="junaidumar/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("junaidumar/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("junaidumar/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from junaidumar/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 174 MB
-
https://huggingface.co/junaidumar/detr_finetuned_cppe5/resolve/main/model.safetensors
- Command line
-
hf download hf://junaidumar/detr_finetuned_cppe5/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/junaidumar/detr_finetuned_cppe5/resolve/main/model.safetensors
174 MB
- Xet hash:
- a2486f141cb086bee12183d9a9ff5177d215b227e30ebb91c28dc8dc16e698f9
- Size of remote file:
- 174 MB
- SHA256:
- 4d2f41876466ca044db7aea54ef1370c0e3573f1a590028f67ae43f76ffd5fd3
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