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:
- 20a15aecdd4f4ab8af7e9f449555e8cb7275004874951921c53f4bbe0609b77a
- Size of remote file:
- 190 MB
- SHA256:
- d9e4e52c9d2075d9ba7b6ef7798a5aca486516b4ec5e462f570c38034990f977
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