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")# 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
File size: 129 Bytes
16aeef9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d75ff91664657d5fb48ae8c9af28d67e996b036d60a86d505457d5bd4eb787af
size 5432
|