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 / Reset of Rejected SAM 3.1 Access
Hello Meta SAM Team,
My access request to facebook/sam3.1 was recently rejected. I would greatly appreciate it if you could manually reconsider my application or reset its status to pending.
I am an undergraduate student majoring in Artificial Intelligence at Peking University. I intend to use SAM 3.1 solely for academic research and experimentation in computer vision, particularly for image/video segmentation and tracking.
The model will be used only for research purposes. I will comply with the SAM license and all applicable policies, and I will not redistribute the model weights or access credentials.
Hugging Face username: KeyueXing
Please let me know if any additional information is required. Thank you very much for your time and consideration.