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-535/optimizer.pt from bpdevai/test_detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 346 MB
-
https://huggingface.co/bpdevai/test_detr_finetuned_cppe5/resolve/main/checkpoint-535/optimizer.pt
- Command line
-
hf download hf://bpdevai/test_detr_finetuned_cppe5/checkpoint-535/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/bpdevai/test_detr_finetuned_cppe5/resolve/main/checkpoint-535/optimizer.pt
346 MB
- Xet hash:
- d2ee022dfd5779c5d5abfddf33f9e7441de4559479b9ef6bd8bffcb101d55c94
- Size of remote file:
- 346 MB
- SHA256:
- 8111ab4a6b7a610ad51077ffc81c6ea0e44ac1925a8b5c7726b51d2fd2a499db
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