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")# pip install -U transformers accelerate # 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 / Reset of Rejected SAM3 Access
#512
by Anon12255 - opened
Hello SAM3 Team,
My access request for facebook/sam3 was rejected. I would appreciate a
manual review or a reset of the rejected status.
I am developing a local robotics vision system that uses SAM3 for
text-guided segmentation of target objects and destination regions.
The model will be used for research and development, and I will comply
with the SAM License and will not redistribute the checkpoints.
Hugging Face username: Anon12255
Affiliation: china,Zhejiang University
Intended use: Local research and development for robotic scene understanding
Please let me know if any additional information is required.
Thank you.