Instructions to use qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad") model = AutoModelForObjectDetection.from_pretrained("qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 100.0, | |
| "total_flos": 2.386038004919996e+19, | |
| "train_loss": 0.0, | |
| "train_runtime": 3.3486, | |
| "train_samples_per_second": 25383.788, | |
| "train_steps_per_second": 3195.371 | |
| } |