Instructions to use cmncomp/roadwork2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmncomp/roadwork2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cmncomp/roadwork2") 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("cmncomp/roadwork2") model = AutoModelForImageClassification.from_pretrained("cmncomp/roadwork2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "roadworfefeafek0893133", | |
| "description": "Roadwork model", | |
| "version": "1.0.0", | |
| "submitted_by": "5E56WX3jLCN1Wo4fwxdhZmQPtJi76G1mRpZt86ZCUpdENm6s", | |
| "submission_time": "1751540653" | |
| } |