Instructions to use davanstrien/red-squirrel-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/red-squirrel-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davanstrien/red-squirrel-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("davanstrien/red-squirrel-detector") model = AutoModelForObjectDetection.from_pretrained("davanstrien/red-squirrel-detector") - Notebooks
- Google Colab
- Kaggle
File size: 562 Bytes
7fea514 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"epoch": 30.0,
"eval_loss": 0.7586857080459595,
"eval_map": 0.8614,
"eval_map_50": 0.9087,
"eval_map_75": 0.8839,
"eval_map_class_0": 0.8614,
"eval_map_large": 0.8901,
"eval_map_medium": 0.63,
"eval_map_small": 0.0,
"eval_mar_1": 0.7528,
"eval_mar_10": 0.8876,
"eval_mar_100": 0.9441,
"eval_mar_100_class_0": 0.9441,
"eval_mar_large": 0.9653,
"eval_mar_medium": 0.7769,
"eval_mar_small": 0.0,
"eval_runtime": 6.4866,
"eval_samples_per_second": 19.733,
"eval_steps_per_second": 2.467
} |