Instructions to use KoichiYasuoka/bert-base-japanese-char-extended with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/bert-base-japanese-char-extended with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/bert-base-japanese-char-extended")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-japanese-char-extended") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/bert-base-japanese-char-extended") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc4a8f7a9e1db66a7166a0639cbcc6caa401f0bc64ef0e844b4592a444a8ca9c
- Size of remote file:
- 364 MB
- SHA256:
- 5626c3ae9c7b73ffb51f3dc40342d3423b88c9c383a0451bf1f146df5a1464c4
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