Instructions to use ArrayDice/facebook_detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArrayDice/facebook_detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ArrayDice/facebook_detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ArrayDice/facebook_detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("ArrayDice/facebook_detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5382fd31864e2f106edfa636b236989bdc4b139e817553755126241dd6f1fc7
- Size of remote file:
- 5.11 kB
- SHA256:
- 6c9186f9b56c36db1d8d890c7cff9336bc3a15fe0f85eb12797bfd0bc934106b
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