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") - Notebooks
- Google Colab
- Kaggle
重新请求SAM3
Hello, my access request to facebook/sam3 was rejected.
I am a graduate student at Zhengzhou University, China. My research focuses on traffic scene image understanding and visual perception. I would like to use SAM3 for non-commercial academic research and local source-code reproduction.
Specifically, I plan to use SAM3 only for offline inference to generate segmentation masks and bounding boxes for traffic scene images, including roads, vehicles, guardrails, road shoulders, slopes, drainage ditches, and other road environment elements. The model will not be used for any commercial purpose.
My affiliation is Zhengzhou University, China.
My Hugging Face username is NancyYEE.
Could you please reconsider my access request or reset it so that I can submit a corrected request?
Thank you very much.
同学你好,你最后的请求通过了么?