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")# pip install -U transformers accelerate # 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 SAM3 access
#650
by liwen010407 - opened
Hello SAM3 team,
My access request was rejected, but no specific reason was shown.
I would like to evaluate SAM3 for academic research on wheat-head counting in field images using the public GWHD2021 dataset.
Could you please clarify the reason and reconsider my request? If any information needs correction, could you reset the request so I can update it?
Hugging Face username: liwen010407
Thank you for your time and help.