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 SAM3 access
#235
by Ridditz - opened
Dear SAM3 team. I am exploring video embedded translations and researching this. (not subtitles, but billboards, signage, posters, whiteboards, custom etc)
I would appreciate access to continue our research. Complying with all the requirements, licensing etc. I agree.
Ridditz changed discussion title from Request for SAML3 access to Request for SAM3 access