Instructions to use facebook/sam-vit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/sam-vit-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="facebook/sam-vit-base")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("facebook/sam-vit-base") model = AutoModelForMaskGeneration.from_pretrained("facebook/sam-vit-base") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 0b40a4f
Add TF weights bf6e013
Update README.md a7c34ea
Update README.md 91d4ca2
Create README.md d451a11
Upload processor 02a33af
Upload model 01a63de
initial commit 3d25a77
Younes Belkada commited on