Instructions to use KoichiYasuoka/bert-base-japanese-upos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/bert-base-japanese-upos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KoichiYasuoka/bert-base-japanese-upos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-japanese-upos") model = AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-japanese-upos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 38ba79c
base_model
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README.md
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license: "cc-by-sa-4.0"
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base_model: KoichiYasuoka/bert-base-japanese-char-extended
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datasets:
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- "universal_dependencies"
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license: "cc-by-sa-4.0"
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