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 registry.json with huggingface_hub
Browse files- registry.json +39 -0
registry.json
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{
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"schema_version": 1,
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"channels": {
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"stable": {
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"cornelius": "cornelius-2.12",
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"milo": "milo-1.0.0"
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},
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"testing": {
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"cornelius": "cornelius-2.12",
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"milo": "milo-1.0.0"
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}
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},
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"models": {
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"cornelius-2.12": {
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"family": "cornelius",
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"version": "2.12",
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"task": "corner-detection",
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"architecture": "mobilevit-xxs-global-token-simcc",
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"input_size": 384,
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"repository": "HanClinto/cornelius",
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"revision": "9280009f5a66f75f952820d9dadb894909b759b7",
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"filename": "cornelius-2.12.onnx",
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"sha256": "650da3cc3e9ac778c6951de631f824ec1e63bdabf3aaa39a35d7435af625612e",
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"size_bytes": 4407545
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},
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"milo-1.0.0": {
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"family": "milo",
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"version": "1.0.0",
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"task": "card-embedding",
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"architecture": "mobilevit-xxs-arcface",
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"input_size": 448,
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"repository": "HanClinto/milo",
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"revision": "9bcc5e809e936b8c5630d1e7101aae1de1e76621",
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"filename": "model.onnx",
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"sha256": "bd13d8d60383c69da04dce261f32e93fdaeaa8fd618fbc991e7385f71b3d45df",
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"size_bytes": 5191100
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}
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}
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}
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