Image Segmentation
Transformers
PyTorch
TensorBoard
English
segformer
computer-vision
Generated from Trainer
Instructions to use DunnBC22/mit-b0-CMP_semantic_seg_with_mps_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/mit-b0-CMP_semantic_seg_with_mps_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="DunnBC22/mit-b0-CMP_semantic_seg_with_mps_v2")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("DunnBC22/mit-b0-CMP_semantic_seg_with_mps_v2") model = SegformerForSemanticSegmentation.from_pretrained("DunnBC22/mit-b0-CMP_semantic_seg_with_mps_v2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot