Instructions to use HanClinto/CollectorVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- CollectorVision
How to use HanClinto/CollectorVision with CollectorVision:
pip install git+https://github.com/HanClinto/CollectorVision huggingface_hub
from huggingface_hub import hf_hub_download import collector_vision as cvg checkpoint = hf_hub_download(repo_id="HanClinto/CollectorVision", filename="model.onnx") # Detector models, such as Cornelius: detector = cvg.NeuralCornerDetector(checkpoint) # Embedder models, such as Milo: embedder = cvg.NeuralEmbedder(checkpoint)
- Notebooks
- Google Colab
- Kaggle
CollectorVision Artifact Registry
This repository is the canonical registry for CollectorVision model artifacts.
It contains metadata only; model binaries remain in their architecture-family
repositories, such as HanClinto/cornelius and HanClinto/milo.
registry.json contains exact model records with immutable Hugging Face commit
revisions, file names, byte sizes, and SHA-256 digests. Its stable and
testing channels map a model family to a supported exact model ID.
Clients may cache the registry and refresh it periodically. They must download model artifacts from the recorded immutable revision and verify the SHA-256 digest before using the file.
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