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 to reset rejected access
#448
by kexu1028kkk - opened
Hello Meta SAM 3 team, my access request was rejected, possibly due to incomplete information. Could you please reset or manually review it? Hugging Face username: kexu1028kkk. Affiliation: University of Central Florida, PhD student. Intended use: non-commercial academic research β evaluating SAM 3's zero-shot concept segmentation as part of a benchmark comparison with open-vocabulary detectors. I will comply with the license and acceptable use policy and will not redistribute the weights.