North Micro Vision
North Micro Vision detects objects through a text vocabulary.
- Tasks
- detection
- Install
pip install "libreyolo[vlm]"- Support tier
- Sibling tier, since v1.6.0. A separate product surface with its own factory and contract.
- Licenses
- Code MIT, weights Apache-2.0. Commercial use
Install
bash
pip install "libreyolo[vlm]" "transformers>=5.16.0"Predict
Python
from libreyolo import LibreVLM, SAMPLE_IMAGE model = LibreVLM("north-micro-vision", device="cpu")model.set_classes(["person", "building"])result = model(SAMPLE_IMAGE)print(result.boxes)The adapter runs one detection query per vocabulary class. It requires Transformers 5.16 or later, above the shared VLM extra floor. Training is not supported.
Licensing
Check the license on the Hugging Face repository of the specific weights you download. Every checkpoint in the LibreYOLO org carries one, and they are not always the same across a family. That repository is the authoritative source; the summary below describes what applied when this page was last verified.
This is a description of the licenses involved, not legal advice. If the answer matters commercially, read the licenses yourself and take your own counsel.
- Original work
- North Micro Vision, Cohere
- Upstream license
- Apache-2.0
- Upstream source
- huggingface.co/CohereLabs
- LibreYOLO code
- MIT
- Weights
- Apache-2.0, distributed by their authors. LibreYOLO does not host or mirror them.
- Interpretation
- The model publisher declares Apache-2.0.
