Image Segmentation
Transformers
TensorBoard
Safetensors
mask2former
instance-segmentation
vision
Generated from Trainer
Instructions to use yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default 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 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")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default") model = Mask2FormerForUniversalSegmentation.from_pretrained("yeray142/finetune-instance-segmentation-mini-mask2former_augmentation_default", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba8b84e0850d638be21c6960f89aeb926a00ac8b73be653784c1152b8979511b
- Size of remote file:
- 5.43 kB
- SHA256:
- 81474fc30ae7fbeaaca4bf2829d173b807f61093b2b5c5242dacd822880168ed
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