Token Classification
Transformers
Safetensors
Japanese
bert
japanese
koyobun
orthography
kanji-kana
government-writing
Eval Results (legacy)
Instructions to use NagaYu/scribe-usage-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NagaYu/scribe-usage-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NagaYu/scribe-usage-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NagaYu/scribe-usage-classifier") model = AutoModelForTokenClassification.from_pretrained("NagaYu/scribe-usage-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NagaYu/scribe-usage-classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/NagaYu/scribe-usage-classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://NagaYu/scribe-usage-classifier/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/NagaYu/scribe-usage-classifier/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.