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 reconsideration of rejected access
Hello Meta SAM 3 Team,
My access request for the facebook/sam3 repository was rejected. I would
appreciate it if you could manually review my request or reset its status
to pending so that I can submit the required information again.
I am conducting non-commercial academic research on egocentric vision,
hand pose estimation, and human-robot interaction. I intend to use SAM 3
to segment hands and hand-object interaction regions in first-person RGB
videos and evaluate segmentation-assisted hand pose estimation.
I will comply with the SAM 3 license, Meta's acceptable-use requirements,
and all applicable privacy and data-protection policies. I will not
redistribute the model weights or provide unauthorized public access.
Hugging Face username: ZhengShangpo
Organization: Tsinghua University
Verified email: zsp26@mails.tsinghua.edu.cn
Project: EgoEMG-based egocentric hand pose estimation
Could you please reconsider my request or reset it to pending?
Thank you for your time.