How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("mask-generation", model="LibreYOLO/LibreSAM2large")
# Load model directly
from transformers import AutoProcessor, AutoModel

processor = AutoProcessor.from_pretrained("LibreYOLO/LibreSAM2large")
model = AutoModel.from_pretrained("LibreYOLO/LibreSAM2large")
Quick Links

LibreSAM2large

SAM-2.1 Hiera Large rehosted for LibreYOLO's LibreSAM promptable segmentation tier.

Source

Derived from facebook/sam2.1-hiera-large at commit 665f8e2ad61cf5f53d65644ff27c8ee525124610 and the Apache-2.0 facebookresearch/sam2 source release.

Modifications

Learned parameters are unchanged. The upstream Transformers-compatible snapshot files are mirrored here for LibreYOLO distribution. This repository adds LibreYOLO model-card packaging plus LICENSE and NOTICE files for Apache-2.0 redistribution.

Usage

from libreyolo import LibreSAM

model = LibreSAM("sam2-large")
result = model("image.jpg", points=[500, 375], labels=[1])

License

Apache License 2.0. See LICENSE and NOTICE.

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