Instructions to use zoheb/mit-b5-finetuned-sidewalk-semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zoheb/mit-b5-finetuned-sidewalk-semantic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="zoheb/mit-b5-finetuned-sidewalk-semantic")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("zoheb/mit-b5-finetuned-sidewalk-semantic") model = SegformerForSemanticSegmentation.from_pretrained("zoheb/mit-b5-finetuned-sidewalk-semantic") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot