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 manual review/reset of rejected SAM 3 access
#509
by ydanyok - opened
Hello SAM 3 Team,
My Hugging Face username is ydanyok.
I am a PhD student at Kosygin State University of Russia. I am conducting
non-commercial academic research on object detection under limited training
data in industrial scenes.
I intend to use SAM 3 locally only for box-prompted segmentation of objects
in an academic experiment. I will not redistribute the model weights and will
comply with the SAM license and applicable terms.
My access request was rejected without a visible reason. Could you please
manually review or reset the request so that I can correct any incomplete
information?
Thank you.