Instructions to use strakajk/LynxV3-MegaDescriptor-T-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use strakajk/LynxV3-MegaDescriptor-T-224 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("strakajk/LynxV3-MegaDescriptor-T-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from strakajk/LynxV3-MegaDescriptor-T-224: direct link, hf CLI and curl.
- Browser
- Download file 111 MB
-
https://huggingface.co/strakajk/LynxV3-MegaDescriptor-T-224/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://strakajk/LynxV3-MegaDescriptor-T-224/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/strakajk/LynxV3-MegaDescriptor-T-224/resolve/main/pytorch_model.bin
111 MB
- Xet hash:
- b82ca4450e6bf2f3ee953fa4ffcabb1147e2b342e843bbc8a37ce1af491d93c6
- Size of remote file:
- 111 MB
- SHA256:
- e42f654ae201d6820cb5e14370500a160633eec60e2f194842dd4cb46342f548
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