Instructions to use malra/segformer-b5-segments-warehouse1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malra/segformer-b5-segments-warehouse1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="malra/segformer-b5-segments-warehouse1")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("malra/segformer-b5-segments-warehouse1") model = SegformerForSemanticSegmentation.from_pretrained("malra/segformer-b5-segments-warehouse1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot