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 review or reset of rejected SAM 3 access
#641
by Allean0614 - opened
Hello SAM 3 team,
My request to access facebook/sam3 was rejected, and I would appreciate a review.
Hugging Face username: [your username]
Affiliation: [your actual affiliation, or Independent developer/researcher]
Intended use: [briefly describe your actual project and how you plan to use SAM 3]
I am willing to clarify or correct any information in my original application and will comply with the applicable SAM 3 license and usage terms.
Could you please reconsider my request or reset it so I can submit an updated application?
Thank you.