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 for Manual Reset of Rejected SAM 3 Access
Hello SAM 3 team,
my access request to facebook/sam3 was recently rejected. I would appreciate a manual review, or a reset of my request so that I can submit any missing information again.
I am developing a 2D character asset processing tool. My current use case for SAM 3 is local image segmentation during development: identifying specific visible character regions such as eyes, hair, limbs and other articulated body parts in order to produce masks for a cutout/skeletal-animation workflow.
The model would be used locally for development and evaluation. I do not intend to redistribute the SAM 3 weights, and I will comply with the SAM License, applicable trade-control requirements and other relevant terms.
If my original request was rejected because information was incomplete or unclear, I would be happy to provide any additional details.
Could you please manually reconsider the request or reset its status so that I can apply again?
Hugging Face username: ShadyManu
Thank you.