Instructions to use obiwan001/roadwork4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obiwan001/roadwork4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="obiwan001/roadwork4") 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/roadwork4") model = AutoModelForImageClassification.from_pretrained("obiwan001/roadwork4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_card.json from obiwan001/roadwork4: direct link, hf CLI and curl.
- Browser
- Download file 181 Bytes
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https://huggingface.co/obiwan001/roadwork4/resolve/main/model_card.json
- Command line
-
hf download hf://obiwan001/roadwork4/model_card.json
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curl -L -o model_card.json https://huggingface.co/obiwan001/roadwork4/resolve/main/model_card.json
181 Bytes
| {"model_name": "roadwork4", "description": "Detects roadwork", "version": "1.0.0", "submitted_by": "5FXHMe9dnhF1kqHKoCDBBkaktTMrT8Paif6pozkkvmHokEHG", "submission_time": 1748964402} |