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 SAM3 Team,
My access request to the facebook/sam3 repository was recently rejected. I would
like to kindly request a manual review or a reset of my application so that I can
provide any additional information if needed.
Hugging Face username: AkiRikka
I intend to use SAM3 for non-commercial academic research on computer vision and
visual segmentation. Specifically, I plan to use it locally to generate datasets for vision model.
I understand and agree to comply with the SAM License, Meta Privacy Policy,
Hugging Face Terms of Service, and all applicable usage restrictions. I will not
redistribute the model weights or use them for restricted applications.
If my previous application was incomplete or unclear, please let me know what
information should be corrected. I would be grateful if my request could be
reconsidered or reset.
Thank you for your time and consideration.