Instructions to use ArrayDice/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArrayDice/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ArrayDice/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ArrayDice/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("ArrayDice/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ArrayDice/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 166 MB
-
https://huggingface.co/ArrayDice/detr_finetuned_cppe5/resolve/main/model.safetensors
- Command line
-
hf download hf://ArrayDice/detr_finetuned_cppe5/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ArrayDice/detr_finetuned_cppe5/resolve/main/model.safetensors
166 MB
- Xet hash:
- 5f69b862136fc707e32241410a0b61ee119dd3a0e74f7073fe1471f2c0b44376
- Size of remote file:
- 166 MB
- SHA256:
- a6a49c05532a6702f7b05b291a5c1dded2300706e41caca8a99ea5ad20ec241d
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