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 evaluation.jsonl from kuramot6f/classical-ja-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 2.14 MB
-
https://huggingface.co/kuramot6f/classical-ja-tokenizer/resolve/main/evaluation.jsonl
- Command line
-
hf download hf://kuramot6f/classical-ja-tokenizer/evaluation.jsonl
-
curl -L -o evaluation.jsonl https://huggingface.co/kuramot6f/classical-ja-tokenizer/resolve/main/evaluation.jsonl
2.14 MB
File too large to display, you can check the raw version instead.