Instructions to use nlp-waseda/roberta-base-japanese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp-waseda/roberta-base-japanese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlp-waseda/roberta-base-japanese")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese") model = AutoModelForMaskedLM.from_pretrained("nlp-waseda/roberta-base-japanese", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened 4 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot