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")# pip install -U transformers accelerate # 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 SAM3 access β academic research
#511
by Jasper0310 - opened
Hello SAM3 team,
My access request for facebook/sam3 was rejected. Could you please reconsider it, or reset the request so I can provide any missing information?
Hugging Face username: Jasper0310
Affiliation: HKUST (Guangzhou)
Intended use: Academic research on instruction-guided joint audio-visual object removal. We plan to use SAM3 to generate and track instance segmentation masks in research videos.
I am happy to clarify the intended use and comply with the model's license and access requirements.
Thank you.