Instructions to use ninja990621/natix-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ninja990621/natix-05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ninja990621/natix-05") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ninja990621/natix-05") model = AutoModelForImageClassification.from_pretrained("ninja990621/natix-05", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "roadwork-detection", | |
| "description": "authoritative model for roadwork detection", | |
| "version": "0.0.1", | |
| "submitted_by": "5DqSCFCadAALSHwvJ6WzUGeE5Y2z7LQoMNT2NGXzhKRgAEmN", | |
| "submission_time": "2025-05-27T11:00:00Z" | |
| } |