Instructions to use ibuki95/dlvbe77b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibuki95/dlvbe77b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ibuki95/dlvbe77b") 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("ibuki95/dlvbe77b") model = AutoModelForImageClassification.from_pretrained("ibuki95/dlvbe77b") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "roadwork-snapshot-eF7Rkz", | |
| "description": "Snapshot model from natix-network-org/roadwork", | |
| "version": "1.0.0", | |
| "submitted_by": "5FheF7RkzrCLMRJE3JL2Gm6viTyUT5tGeLNzuyUidiwoZgWH", | |
| "submission_time": 1748989448 | |
| } |