Instructions to use KoichiYasuoka/deberta-large-japanese-unidic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/deberta-large-japanese-unidic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/deberta-large-japanese-unidic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-large-japanese-unidic") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-large-japanese-unidic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d8bea7c87608f12c8bf1da414d6dc99ccf41f1490449df9c2b380427a35cc05
- Size of remote file:
- 1.35 GB
- SHA256:
- 69f1286b5c9eab5df3681988ab34b92ee6915b39984a1e8d9cba8b5aa176e6d7
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