Instructions to use Bilgee/detr-finetuned-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bilgee/detr-finetuned-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Bilgee/detr-finetuned-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Bilgee/detr-finetuned-v1") model = AutoModelForObjectDetection.from_pretrained("Bilgee/detr-finetuned-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Bilgee/detr-finetuned-v1: direct link, hf CLI and curl.
- Browser
- Download file 115 MB
-
https://huggingface.co/Bilgee/detr-finetuned-v1/resolve/main/model.safetensors
- Command line
-
hf download hf://Bilgee/detr-finetuned-v1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Bilgee/detr-finetuned-v1/resolve/main/model.safetensors
115 MB
- Xet hash:
- 4bc53e3fe72dcd1fd0c3a3677b61ae41b5eae89115a76ee726a70b8d62a6538a
- Size of remote file:
- 115 MB
- SHA256:
- 2bae058416f4939d03b95c130cc91b6f645feda7eb9ee14bb6df0290a416ca83
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