Image Segmentation
Transformers
TensorBoard
Safetensors
mask2former
instance-segmentation
vision
Generated from Trainer
Instructions to use yeray142/finetune-instance-segmentation-ade20k-mini-mask2former with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeray142/finetune-instance-segmentation-ade20k-mini-mask2former with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="yeray142/finetune-instance-segmentation-ade20k-mini-mask2former")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("yeray142/finetune-instance-segmentation-ade20k-mini-mask2former") model = Mask2FormerForUniversalSegmentation.from_pretrained("yeray142/finetune-instance-segmentation-ade20k-mini-mask2former") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db556727de795d55aded0d24e8ac1599b22b13299929520a792438d9996b99a6
- Size of remote file:
- 5.37 kB
- SHA256:
- 7141476f9a42b7b7e6d18c0ba0b13bb7a027107d891eb0f8927a782c3a003e60
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