Image Segmentation
Transformers
TensorBoard
Safetensors
mask2former
instance-segmentation
vision
Generated from Trainer
Instructions to use byates4/training_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byates4/training_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="byates4/training_output")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("byates4/training_output") model = Mask2FormerForUniversalSegmentation.from_pretrained("byates4/training_output") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Aug04_22-58-02_9b6934c27a7f
- Aug05_15-49-28_5bcb4a177846
- Aug05_15-52-36_5bcb4a177846
- Aug05_18-55-34_6e9f1bc45c55
- Aug05_19-06-25_6e9f1bc45c55
- Aug05_22-10-43_f242cb44ffd1
- Aug06_02-22-52_29ccbf9b36e8
- Aug08_16-45-18_63df86c0db31
- Aug08_16-48-42_63df86c0db31
- Aug08_16-55-04_63df86c0db31
- Aug08_17-00-16_63df86c0db31