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 SAM 3 Access
Hi, my access request to the SAM 3 repository was recently rejected. I would like to kindly request a reconsideration or reset of my access request.
I am using SAM 3 for non-commercial academic research related to facial makeup region segmentation and image analysis. My goal is to evaluate text-prompt-based segmentation for regions such as lipstick, eyeshadow, blush, foundation, and eyeliner, and to compare it with existing segmentation approaches.
The model will only be used locally for research purposes. I will not redistribute the model weights or use them for unauthorized commercial applications, and I am willing to comply with the SAM 3 license and Meta’s usage terms.
If possible, I would greatly appreciate it if my access request could be reviewed again or reset so that I can submit a more complete request.
Thank you very much for your time and consideration.