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
Request for approval
#203
by ZJYUESTC - opened
Dear MedSAM3 Team,
I am a sophomore at the University of Electronic Science and Technology of China, working on a medical image segmentation project. I am very interested in your work on MedSAM3 and would greatly appreciate access to your files. Unfortunately, my request was rejected.
Could you kindly approve my request? I confirm that the files will be used solely for academic research, not for commercial purposes.
Thank you very much for your consideration.
Sincerely,
Jingyang Zhang