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 to reset rejected access / Educational purposes
Hello Meta AI Team,
My request for access to the facebook/sam3 model was recently rejected, and I believe it might have been an automated decision or a misunderstanding. I kindly request a manual review or a reset of my application status so I can resubmit it.
I am an independent learner/student, and my sole purpose for using this model is educational. I plan to use it to study the architecture of Segment Anything Model 3, experiment with its fine-tuning capabilities, and understand its performance on computer vision tasks for my personal learning project.
My Hugging Face username: @Koreshkov
I fully agree to abide by Meta's license agreement and Acceptable Use Policy for SAM 3.
Thank you for your time and assistance!
Best regards,
Daniil Koreshkov