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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
request for manual review
#462
by lvruihan - opened
Friends of Meta SAM 3 team,
My request for access to Facebook/Sam3 was denied.
I would like to request manual review or reset of my access
Request so that I can resubmit the required information.
Hug face username: lvruihan
Belonging to: Hebei Agricultural University
Position: Master's student
Expected use:
I plan to use SAM 3 specifically for non-commercial plant organ segmentation and phenotype extraction. Specifically, I would like to use
SAM 3 performs open vocabulary object segmentation in RGB/RGB-D images,
As part of automatic segmentation of plant organs.
I will comply with SAM license, Meta policy, and Hugging Face
The terms will not redistribute model checkpoints.
Thank you for considering my request.