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
Upload README.md with huggingface_hub
Browse files
README.md
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---
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library_name: onnxruntime
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tags:
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- collectorvision
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- model-registry
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---
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# CollectorVision Artifact Registry
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This repository is the canonical registry for CollectorVision model artifacts.
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It contains metadata only; model binaries remain in their architecture-family
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repositories, such as `HanClinto/cornelius` and `HanClinto/milo`.
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`registry.json` contains exact model records with immutable Hugging Face commit
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revisions, file names, byte sizes, and SHA-256 digests. Its `stable` and
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`testing` channels map a model family to a supported exact model ID.
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Clients may cache the registry and refresh it periodically. They must download
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model artifacts from the recorded immutable revision and verify the SHA-256
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digest before using the file.
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