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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27c956dd352cab265aefcdc665d03c154823913075220b3908d10b6be14bd81d
- Size of remote file:
- 190 MB
- SHA256:
- 634a64f08a6dc4d6fc8a02e56e9bde1feee7314effbb6422d3580345e5ef7ddc
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