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 of SAM3 Access
#471
by ButterCrab0122 - opened
Hi SAM3 team,
My access request was recently declined, and I would really appreciate a manual review.
I’m Yinxi He, a first-year PhD student at Beijing Jiaotong University. I plan to use SAM3 solely for academic research, as an important segmentation component in a panoramic image editing dataset construction pipeline.
I will strictly follow all license terms and usage policies. I would be grateful if you could reconsider and restore my access. Thank you!