Instructions to use TheRomanFour/rtdetr-v2-r50-cppe5-finetune-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRomanFour/rtdetr-v2-r50-cppe5-finetune-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="TheRomanFour/rtdetr-v2-r50-cppe5-finetune-2")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("TheRomanFour/rtdetr-v2-r50-cppe5-finetune-2") model = AutoModelForObjectDetection.from_pretrained("TheRomanFour/rtdetr-v2-r50-cppe5-finetune-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 984773984b2b27367786db8ff3c0d0ebab7a8834625e8ac4c01cf9e29dcba413
- Size of remote file:
- 5.37 kB
- SHA256:
- 1409cbe249ec3dd36b189796d6b208d8c05777326435c6ead6c38a4a50e4eb64
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