Instructions to use yosuke/bert-base-japanese-char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yosuke/bert-base-japanese-char with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yosuke/bert-base-japanese-char")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yosuke/bert-base-japanese-char") model = AutoModelForMaskedLM.from_pretrained("yosuke/bert-base-japanese-char") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 374f2f26fd8e365e1af730431caad05f56f4cebde7ed60e95320c4a1ba8c5c1a
- Size of remote file:
- 243 MB
- SHA256:
- ac408602cc55350639afd2cd0d5c07527dc551653376e333199c573f55db8c41
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