Instructions to use sam1120/dropoff-utcustom-train-SF-RGB-b0_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sam1120/dropoff-utcustom-train-SF-RGB-b0_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="sam1120/dropoff-utcustom-train-SF-RGB-b0_2")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("sam1120/dropoff-utcustom-train-SF-RGB-b0_2") model = SegformerForSemanticSegmentation.from_pretrained("sam1120/dropoff-utcustom-train-SF-RGB-b0_2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot