Instructions to use k141303/japanese-roberta-base-20220905 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k141303/japanese-roberta-base-20220905 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="k141303/japanese-roberta-base-20220905")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("k141303/japanese-roberta-base-20220905") model = AutoModelForMaskedLM.from_pretrained("k141303/japanese-roberta-base-20220905", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Japanese RoBERTa base size trained by wikipedia dump 20220905 using fairseq.
Tokenizer is japanese_roberta_tokenizer.
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