Instructions to use kuramot6f/classical-ja-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kuramot6f/classical-ja-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kuramot6f/classical-ja-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from kuramot6f/classical-ja-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 467 kB
-
https://huggingface.co/kuramot6f/classical-ja-tokenizer/resolve/main/tokenizer.model
- Command line
-
hf download hf://kuramot6f/classical-ja-tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/kuramot6f/classical-ja-tokenizer/resolve/main/tokenizer.model
467 kB
- Xet hash:
- 6b69f60cbf5150e1f9fdd36cc94badb08192e95228c39c5ec468f2cdd542ff05
- Size of remote file:
- 467 kB
- SHA256:
- 2f3ee39cc46a89b5a5dd392ae69ab84acbced8147ac4aedd3e4cec4fa42cb5ed
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