Image Segmentation
Transformers
Safetensors
mask2former
semantic-segmentation
remote-sensing
aerial-imagery
wildfire-risk
Eval Results (legacy)
Instructions to use gdurkin/cali_fire_risk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gdurkin/cali_fire_risk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="gdurkin/cali_fire_risk")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("gdurkin/cali_fire_risk") model = Mask2FormerForUniversalSegmentation.from_pretrained("gdurkin/cali_fire_risk") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!