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 Manual Review of SAM 3 Access
Hello SAM 3 Team,
My access request for facebook/sam3 was recently rejected, and I would like to request a manual review or reset of my access request.
I am using SAM 3 locally for image segmentation and layer separation experiments. My current project is a local image-editing workflow where the user selects an approximate region and provides a text description, and the model is used to segment the specified visual element.
The model will run locally on my personal workstation for development and evaluation purposes. I will not redistribute the model weights and will comply with the SAM 3 license, Meta policies, and Hugging Face terms.
If my original application was missing information, I would be happy to provide additional details.
Hugging Face username: huquandan
Thank you for your time and consideration.