Image Segmentation
Transformers
TensorBoard
Safetensors
mask2former
instance-segmentation
vision
Generated from Trainer
Instructions to use mscotello/Michael_Mask2Former_accelerated_8gpu_eval_18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mscotello/Michael_Mask2Former_accelerated_8gpu_eval_18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mscotello/Michael_Mask2Former_accelerated_8gpu_eval_18")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("mscotello/Michael_Mask2Former_accelerated_8gpu_eval_18") model = Mask2FormerForUniversalSegmentation.from_pretrained("mscotello/Michael_Mask2Former_accelerated_8gpu_eval_18", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fbdb0173b3fd66e138d3d6b0346bd722cb577d9db870dcfce0e51397a399a71
- Size of remote file:
- 5.43 kB
- SHA256:
- b0844695295dff2e5b385b5ba6c658b9aa5d38e869c8d1567de9e9d152cf8e17
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