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 rejected SAM3 access β zjrdfgfd
#452
by zjrdfgfd - opened
Hello Meta SAM3 Team,
My access request for facebook/sam3 was rejected. Could you please reconsider my request or reset its status so that I can submit an updated application?
I am a master's student at Harbin Institute of Technology, Shenzhen. I plan to use SAM3 for academic research on visual grounding and spatial reasoning in vision-language models, including evaluating the Kestrel framework on spatial benchmarks.
Hugging Face username: zjrdfgfd
Affiliation: Harbin Institute of Technology, Shenzhen
If any information in my application was incomplete or unclear, I would be happy to clarify it. Please let me know if any additional information is required.
Thank you for your time and consideration.