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 manual review / reset application
#254
by kanezy - opened
Hello, my access request to facebook/sam3 was rejected.
Could you please manually review or reset my application so I can reapply?
HF username: kanezy
Use case: local research/evaluation for image/video segmentation
Environment: local non-public testing, no redistribution of weights
I am happy to provide additional affiliation or project details if needed.
Thank you.