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 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/3daaafec806442c23d1ae6ef67c6561250329ae4/training_args.bin
- Command line
-
hf download hf://bpdevai/test_detr_finetuned_cppe5@3daaafec806442c23d1ae6ef67c6561250329ae4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bpdevai/test_detr_finetuned_cppe5/resolve/3daaafec806442c23d1ae6ef67c6561250329ae4/training_args.bin
5.18 kB
- Xet hash:
- 69dc1ff0686b57d093dc3d016434b402254d3b96afe3689bcf638fa2c978064c
- Size of remote file:
- 5.18 kB
- SHA256:
- 70ab6612c795f2330a136ddf97d7c6e0ba7798175cc9cae994cc3f067700c650
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.