Instructions to use nonl/dfine-cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonl/dfine-cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="nonl/dfine-cppe5")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("nonl/dfine-cppe5") model = AutoModelForObjectDetection.from_pretrained("nonl/dfine-cppe5") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 300.0, | |
| "total_flos": 1.9198779273216e+19, | |
| "train_loss": 11.328886562834647, | |
| "train_runtime": 8885.8834, | |
| "train_samples_per_second": 28.697, | |
| "train_steps_per_second": 3.612 | |
| } |