Image Classification
Transformers
Safetensors
dinov2
project-sidewalk
accessibility
sidewalks
street-view
label-validation
obstacle
Eval Results (legacy)
Instructions to use projectsidewalk/sidewalk-validator-ai-obstacle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projectsidewalk/sidewalk-validator-ai-obstacle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="projectsidewalk/sidewalk-validator-ai-obstacle") 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("projectsidewalk/sidewalk-validator-ai-obstacle") model = AutoModelForImageClassification.from_pretrained("projectsidewalk/sidewalk-validator-ai-obstacle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Publish Obstacle model: inference files and card (sidewalk-validator-ai f43f33968c87)
64b082c verified