Mask Generation
Transformers
Safetensors
English
sam3
feature-extraction
unsloth
sam3.1
segment-anything
segmentation
text-prompted-segmentation
inpainting
bf16
fp8
int8
Instructions to use unsloth/sam3.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unsloth/sam3.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="unsloth/sam3.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("unsloth/sam3.1") model = AutoModel.from_pretrained("unsloth/sam3.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from unsloth/sam3.1: direct link, hf CLI and curl.
- Browser
- Download file 3.64 MB
-
https://huggingface.co/unsloth/sam3.1/resolve/main/tokenizer.json
- Command line
-
hf download hf://unsloth/sam3.1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/unsloth/sam3.1/resolve/main/tokenizer.json
3.64 MB
File too large to display, you can check the raw version instead.