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
File size: 748 Bytes
c0175b1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ---
library_name: onnxruntime
tags:
- collectorvision
- model-registry
---
# 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. |