Image Segmentation
Transformers
TensorBoard
Safetensors
mask2former
instance-segmentation
vision
Generated from Trainer
Instructions to use yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen") model = Mask2FormerForUniversalSegmentation.from_pretrained("yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen / preprocessor_config.json
Commit History
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Training in progress, epoch 1
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