Instructions to use davidhajdu/dab_detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidhajdu/dab_detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davidhajdu/dab_detr_finetuned_cppe5")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("davidhajdu/dab_detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("davidhajdu/dab_detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4039db96a4dc09d9a2c073aca28107a55e5b7c178bf48ea05ad17575aa72b682
- Size of remote file:
- 5.37 kB
- SHA256:
- 1fc33d4c7d2a1afef938e17dcac2d00be7a5b199135e0126928fad956f551171
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