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 Application
Hello SAM 3 team,
My Hugging Face username: Jaja101.
My access request for the SAM 3 model was recently rejected, and I would like to kindly ask whether my application could be reconsidered.
I am an undergraduate computer science student at Hefei University of Technology, and I plan to use SAM 3 only for non-commercial academic research and learning. My current research interest is computer vision, particularly image and video segmentation and its potential application to UAV action recognition.
The model will not be used for military, surveillance, weapons-related, biometric identification, or any other restricted purposes. I will comply with the SAM 3 license terms and all applicable usage policies.
I would greatly appreciate it if the team could review my application again or reset my access request so that I can resubmit it with more complete information.
Thank you for your time and consideration.
