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
Download model_card.json from Jacksss123/net72_uid47: direct link, hf CLI and curl.
- Browser
- Download file 240 Bytes
-
https://huggingface.co/Jacksss123/net72_uid47/resolve/main/model_card.json
- Command line
-
hf download hf://Jacksss123/net72_uid47/model_card.json
-
curl -L -o model_card.json https://huggingface.co/Jacksss123/net72_uid47/resolve/main/model_card.json
240 Bytes
| { | |
| "model_name": "roadwork-detection", | |
| "description": "authoritative model for roadwork detection", | |
| "version": "0.0.1", | |
| "submitted_by": "5GcDTVeHruTpPnXbDxdwc37HY3LYa1LXjUeiB7FJmWtFjtzG", | |
| "submission_time": "1753949050" | |
| } |