Instructions to use obiwan001/roadwork3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obiwan001/roadwork3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="obiwan001/roadwork3") 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("obiwan001/roadwork3") model = AutoModelForImageClassification.from_pretrained("obiwan001/roadwork3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_card.json from obiwan001/roadwork3: direct link, hf CLI and curl.
- Browser
- Download file 181 Bytes
-
https://huggingface.co/obiwan001/roadwork3/resolve/main/model_card.json
- Command line
-
hf download hf://obiwan001/roadwork3/model_card.json
-
curl -L -o model_card.json https://huggingface.co/obiwan001/roadwork3/resolve/main/model_card.json
181 Bytes
| {"model_name": "roadwork3", "description": "Detects roadwork", "version": "1.0.0", "submitted_by": "5F2FdedWcrjguo2zEgAEknfX2HQMq822BfQCuBnMSkLGsAs8", "submission_time": 1748964402} |