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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("facebook/sam3") model = AutoModelForMultimodalLM.from_pretrained("facebook/sam3") - Notebooks
- Google Colab
- Kaggle
Reset Access Request for SAM3
Dear SAM3 Maintainers,
I am writing to politely request access to the SAM3 model weights. My initial request was unfortunately rejected, likely due to an automated screening process.
I am currently a student at Nanjing University of Finance and Economics (Hugging Face username: @jiayuan777 ). I would like to clarify that my intention in downloading the SAM3 model is strictly for academic learning, personal research, and non-commercial purposes.
Specifically, I plan to use it to understand advanced computer vision mechanisms for my course project.
Could you please kindly review my request and either manually grant access or reset my application status so I can re-apply? I have already updated my Hugging Face profile to reflect my academic identity.
Thank you very much for your time, your great open-source contributions, and your support for students!
Best regards,
jiayuan gao
@jiayuan777