Instructions to use HanClinto/milo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- CollectorVision
How to use HanClinto/milo 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/milo", 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
- Xet hash:
- 2200cc0f090cd89fa3d596cbf4c107f4d046c2e8f1cf0ccbc6f696bea3506242
- Size of remote file:
- 5.19 MB
- SHA256:
- bd13d8d60383c69da04dce261f32e93fdaeaa8fd618fbc991e7385f71b3d45df
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