Instructions to use facebook/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="facebook/sam3")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/sam3") model = AutoModel.from_pretrained("facebook/sam3") - Notebooks
- Google Colab
- Kaggle
Add PBench average evaluation result
#249
by merve HF Staff - opened
No description provided.
a66af245a485c6c9f344d84317a27906cacf4b61
hf auth login
hf
dataset:
id: tiiuae/PBench
task_id: average
value: 44.4
date: '2026-05-11'
source:
url: https://huggingface.co/facebook/sam3
name: Community Evals
user: Pq234