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 for reconsideration of rejected access
#454
by shaokeying - opened
Hello SAM 3 team,
My Hugging Face username is shaokeying.
I am a graduate student conducting non-commercial academic research on logical anomaly detection and industrial image segmentation.
My project studies the combination of vision-language understanding and precise segmentation. I plan to evaluate SAM 3 on MVTec LOCO and VID-AD as a properly attributed research baseline, and I will comply with the SAM license and model usage terms.
My previous access request to facebook/sam3 was rejected. Could you please reconsider my request or move it back to pending?
Affiliation: zhejiang university of techonology
Supervisor/Lab: gaohaidong
Thank you.