Token Classification
Transformers
PyTorch
Safetensors
Japanese
luke
ner
固有表現抽出
named entity recognition
named-entity-recognition
Instructions to use Mizuiro-sakura/luke-japanese-base-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mizuiro-sakura/luke-japanese-base-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mizuiro-sakura/luke-japanese-base-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mizuiro-sakura/luke-japanese-base-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Mizuiro-sakura/luke-japanese-base-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K