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 Reconsider SAM 3 Access
#670
by zzn1123631419 - opened
Hello SAM 3 Team,
I’m following up on my request for access to facebook/sam3. My Hugging Face username is zzn1123631419. The application status shows only that my request was declined. Could you please review it and let me know if any information needs to be corrected?
I’d like to run SAM 3 locally for research. I plan to use text prompts to segment objects in RGB images and explore how the resulting masks could support geometric processing tasks. I’ll comply with the SAM 3 license.
If I need to submit a new application, could you please reset my request so I can reapply? I’d be happy to provide any additional information you need.
Thank you for your time and consideration.
Best regards,
ZhiNing Zhang