Image Segmentation
Transformers
Safetensors
sam2
mask-generation
vision
sam
trackio
Generated from Trainer
Instructions to use evalstate/sam2-micromat-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evalstate/sam2-micromat-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="evalstate/sam2-micromat-demo")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("evalstate/sam2-micromat-demo") model = AutoModelForMaskGeneration.from_pretrained("evalstate/sam2-micromat-demo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d79eec36c322af9fb09e2e55aa89e422b71ec8cd0593f7a2f3cf1b1a343272fe
- Size of remote file:
- 5.33 kB
- SHA256:
- 5fe19befef7abb433cd4fde5ed55900f51232614b4feba583d4603ffc89a5061
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