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 reconsideration of rejected SAM3 access
#508
by spe2 - opened
Hello SAM 3 Team,
My access request for the facebook/sam3 repository was rejected.
I would like to request a manual review or reset of my access request so that I can submit the required information again.
Hugging Face username: spe2
Intended use: research and development / image and video segmentation / game development experiments.
I agree to comply with the SAM 3 license, Meta Privacy Policy, and applicable usage requirements.
Please let me know if any additional information is required.
Thank you.