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
Student CV/NLP Researcher waiting for SAM3 gated checkpoints access [TIME SENSITIVE]
#171
by AnandVishesh1301 - opened
Hi,
I am a student researcher primarily working in CV and NLP. Working on an industry research project right now where SAM3 would be highly beneficial, and is a perfect fit. I requested access and is now pending, would be highly appreciated if I could get it approved.
Thanks in advance for your help.
PS: I already have access to other models ( like llama 3.1, 3.3, 3.4 etc.) by Meta from before.
have they approved you yet?
Yes they did!
AnandVishesh1301 changed discussion status to closed
