Instructions to use kwadraten/shikiji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use kwadraten/shikiji with timm:
import timm model = timm.create_model("hf_hub:kwadraten/shikiji", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add Shikiji v0.0.1 artifact: supervised_pretrain_checkpoint.embedding.onnx
Browse files
supervised_pretrain_checkpoint.embedding.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2681829ba4731304dafff396ab5a10fe31fe42d5ed989e799ede33e62d0c200
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size 111360131
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