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
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:df98c2f0b83e84bd8efaef2ea57aa8fede68be3e2df71ded66aa53e13f76cbb8
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size 374979480
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