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") - Notebooks
- Google Colab
- Kaggle
Request for access to sam3 model
Hi Meta SAM3 team,
I am a graduate student at Nanjing Normal University, currently working on an academic research and competition project related to infrared image-text segmentation.
I previously submitted a request for access to the sam3 model, but unfortunately my request was rejected. I fully understand that access to gated models may be subject to review and usage restrictions. I would like to kindly ask whether my request could be reconsidered.
My intended use is strictly non-commercial academic research and competition development. Specifically, I hope to use SAM3 for infrared image segmentation, pseudo-label generation, and benchmarking. I will fully comply with the model license, Hugging Face terms of use, and any restrictions required by the model provider. I will also properly cite the original repository and related work.
I would be very grateful if you could review my access request again or let me know whether there is any additional information I should provide.
Thank you very much for your time and consideration.