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 to reconsider or reset my rejected SAM3 access request
Hello SAM 3 Team,
My access request to the facebook/sam3 repository was recently rejected.
I would like to kindly ask if you could manually review my request or reset my application status so that I can submit the information again.
I plan to use SAM 3 locally for a computer vision research/project workflow. My main purpose is image segmentation and dataset annotation. Specifically, I am working on segmenting raised "工"-shaped structures on rusty metal plates and using the segmentation results to help create training data for a YOLOv8 segmentation model.
The intended use is for image segmentation, experimentation, and dataset annotation. I will use the model locally and will not redistribute the model weights.
I agree to comply with the SAM 3 license, Hugging Face terms, Meta policies, and all applicable usage requirements.
Hugging Face username: Aricky77
Could you please reconsider my request or reset my rejected application so that I can submit the access form again?
Thank you for your time and consideration.