Token Classification
Transformers
PyTorch
Safetensors
Japanese
English
bert
ner
named entity recognition
stockmark ner
japanese named entity recognition
japanese ner
Instructions to use knosing/japanese_ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knosing/japanese_ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="knosing/japanese_ner_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("knosing/japanese_ner_model") model = AutoModelForTokenClassification.from_pretrained("knosing/japanese_ner_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add repository details
Verified signature7682fb5 -
Fix: update model name for tokenizer
Verified signaturec9c7149 -
Add Meta data
Verified signaturef7e07ba -
Create Model card
Verified signatureUpdate Readme and results5d88297 -
Upload 2 files
Verified signaturener model3c0db4e -
Upload BertForTokenClassification
Verified signaturea5b5801 -
initial commit
Verified signature82770d0