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 AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/sam3") model = AutoModel.from_pretrained("facebook/sam3") - Notebooks
- Google Colab
- Kaggle
Access request for SAM3 access
Dear Meta SAM 3 Team,
We are writing to respectfully request access to SAM 3 for our research project focused on analyzing human-object interactions within cinematic stimuli.
Our study aims to precisely segment and track various objects that interact with protagonists in movie scenes. We believe SAM 3’s advanced video segmentation capabilities will be instrumental in distinguishing these interacting objects with high temporal consistency, which is critical for our behavioral analysis.
We have reviewed and fully agree to comply with Meta’s Terms of Use and Licensing Conditions for SAM 3. We are committed to using this model strictly for academic and research purposes.
Thank you for your time and for providing such a powerful tool to the research community. We look forward to your positive response.
Sincerely,
Sanghyun Park, SungKyunKwan univ. south Korea.