Instructions to use Jacksss123/net72_uid47 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacksss123/net72_uid47 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jacksss123/net72_uid47") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Jacksss123/net72_uid47") model = AutoModelForImageClassification.from_pretrained("Jacksss123/net72_uid47", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 240 Bytes
b6f19a2 | 1 2 3 4 5 6 7 | {
"model_name": "roadwork-detection",
"description": "authoritative model for roadwork detection",
"version": "0.0.1",
"submitted_by": "5GcDTVeHruTpPnXbDxdwc37HY3LYa1LXjUeiB7FJmWtFjtzG",
"submission_time": "1753949050"
} |