Instructions to use Justin331/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Justin331/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="Justin331/sam3")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Justin331/sam3") model = AutoModel.from_pretrained("Justin331/sam3") - Notebooks
- Google Colab
- Kaggle
| *.pt filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| sam3/perflib/tests/assets/masks.tiff filter=lfs diff=lfs merge=lfs -text | |
| bpe_simple_vocab_16e6.txt.gz filter=lfs diff=lfs merge=lfs -text | |
| assets/bpe_simple_vocab_16e6.txt.gz filter=lfs diff=lfs merge=lfs -text | |