Instructions to use facebook/sam-vit-huge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/sam-vit-huge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="facebook/sam-vit-huge")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("facebook/sam-vit-huge") model = AutoModelForMaskGeneration.from_pretrained("facebook/sam-vit-huge") - Notebooks
- Google Colab
- Kaggle
MarCognity-AI for Segment Anything
#12
by elly99 - opened
Segment Anything sees boundaries.
MarCognity-AI asks: what makes a boundary conceptual?
https://huggingface.co/elly99/MarCognity-AI
It’s a semantic cartographer:
– Maps interpretive contours
– Scores cognitive segmentation
– Reflects on the ethics of framing
Not just segmentation.
Segmentation with sense.