Image Segmentation
Transformers
Safetensors
mask2former
instance-segmentation
vision
Generated from Trainer
Instructions to use amnraw/finetune-instance-segmentation-posture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amnraw/finetune-instance-segmentation-posture with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="amnraw/finetune-instance-segmentation-posture")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("amnraw/finetune-instance-segmentation-posture") model = Mask2FormerForUniversalSegmentation.from_pretrained("amnraw/finetune-instance-segmentation-posture") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e0ebca9a65ab4bba3044cea2dc25156acbaa6db3072a5a4a938506cf2509e7a
- Size of remote file:
- 5.3 kB
- SHA256:
- bd1217cd93b6251c8d60c3dd617686aa8a6fedb58ddb490be52d53963e0ca172
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