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
File size: 208 Bytes
482f1df | 1 2 3 4 5 6 7 8 | {
"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
} |