Instructions to use bpdevai/test_detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bpdevai/test_detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="bpdevai/test_detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("bpdevai/test_detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("bpdevai/test_detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-321/scheduler.pt from bpdevai/test_detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/bpdevai/test_detr_finetuned_cppe5/resolve/main/checkpoint-321/scheduler.pt
- Command line
-
hf download hf://bpdevai/test_detr_finetuned_cppe5/checkpoint-321/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/bpdevai/test_detr_finetuned_cppe5/resolve/main/checkpoint-321/scheduler.pt
1.06 kB
- Xet hash:
- ea7d51983f5f86ff66e73db6b36464d06b20bd6de1603b948c3789dc75089b54
- Size of remote file:
- 1.06 kB
- SHA256:
- 8d588360be02d945ff9ca59d4ae5a51f89ec2a61c99732097ff4d6f0b59eb795
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