Instructions to use wanglab/medsam-vit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wanglab/medsam-vit-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="wanglab/medsam-vit-base")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("wanglab/medsam-vit-base") model = AutoModelForMaskGeneration.from_pretrained("wanglab/medsam-vit-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a355129a95e15328c3ea8831d64b5b057748eba05548f7eb6959a5535d63d87
- Size of remote file:
- 375 MB
- SHA256:
- 0ef67838fba16f16c0e308eaf7a3ae6fbf4fe8e13d7a120ca932671ed9c47db0
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