Instructions to use Ilhamfaisal/detr-resnet-50-dc5-grasshopper-finetuned-maxsteps-10000-batchsize-2-ilham with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ilhamfaisal/detr-resnet-50-dc5-grasshopper-finetuned-maxsteps-10000-batchsize-2-ilham with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Ilhamfaisal/detr-resnet-50-dc5-grasshopper-finetuned-maxsteps-10000-batchsize-2-ilham")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Ilhamfaisal/detr-resnet-50-dc5-grasshopper-finetuned-maxsteps-10000-batchsize-2-ilham") model = AutoModelForObjectDetection.from_pretrained("Ilhamfaisal/detr-resnet-50-dc5-grasshopper-finetuned-maxsteps-10000-batchsize-2-ilham") - Notebooks
- Google Colab
- Kaggle
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