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 Reconsideration of SAM3 Access
#648
by wang-yq - opened
Hello SAM3 Team,
I am a graduate student conducting academic research in computer vision.
My access request was rejected. I would appreciate it if you could review or reset my request so that I can provide any additional information needed.
My Hugging Face username is wang-yq.
I intend to use SAM3 for building segmentation to reproduce PlanarCityLoc for academic research. I will comply with the SAM3 license and Hugging Face terms, and I will not redistribute the model weights.
Thank you for your time and consideration.