Instructions to use research21/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research21/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="research21/sam3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research21/sam3") model = AutoModel.from_pretrained("research21/sam3") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
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