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
Hello Meta SAM 3 Team,
My access request to the facebook/sam3 repository was rejected. I would appreciate it if you could reconsider my application or allow me to resubmit the required information.
I am an individual researcher/developer working locally on a microfluidics computer-vision project. My intended use is to evaluate SAM 3 for segmenting and tracking microscopic beads in microfluidic images and videos. The work is for research and development purposes, not for redistributing the model weights.
I will comply with the SAM License, applicable laws, the Meta Privacy Policy, and Hugging Face’s terms of use. I will not redistribute the model weights or use them for prohibited purposes.
Thank you for considering my request.
Best regards,
Gerald Yu