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")# 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 training_args.bin from bpdevai/test_detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/bpdevai/test_detr_finetuned_cppe5/resolve/2b4f7e79cf7fa68ac15085ecd999474e4db0ffb1/training_args.bin
- Command line
-
hf download hf://bpdevai/test_detr_finetuned_cppe5@2b4f7e79cf7fa68ac15085ecd999474e4db0ffb1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bpdevai/test_detr_finetuned_cppe5/resolve/2b4f7e79cf7fa68ac15085ecd999474e4db0ffb1/training_args.bin
5.18 kB
- Xet hash:
- 2aa47acc6c6f76350399a7c952c95d46786fc72b07ff8a0cc2fb4d6633235c8d
- Size of remote file:
- 5.18 kB
- SHA256:
- f0dd550d512ad8d899ef002c48d14a56a1062c99a3d88fb14a426d30f565c622
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