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 reset rejected SAM 3 access
#623
by k1ff - opened
Hello SAM 3 team,
My access request for facebook/sam3 was rejected. Could you please manually review it or reset the rejected status so I can submit a new request?
Hugging Face username: k1ff
Intended use: I plan to run SAM 3 locally on my GPU through X-AnyLabeling for image annotation and segmentation.
Use context: Personal, non-commercial learning. I plan to run SAM 3 locally on my GPU through X-AnyLabeling to learn and experiment with image annotation and segmentation.
I will comply with the SAM 3 license and Hugging Face terms. I will not redistribute the model weights.
Thank you.