Token Classification
Transformers
Safetensors
Japanese
xlm-roberta
japanese
keigo
honorifics
grammatical-error-detection
business-japanese
cpu
Instructions to use NagaYu/deference-keigo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NagaYu/deference-keigo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NagaYu/deference-keigo")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NagaYu/deference-keigo") model = AutoModelForTokenClassification.from_pretrained("NagaYu/deference-keigo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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