Instructions to use rinna/japanese-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rinna/japanese-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rinna/japanese-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rinna/japanese-roberta-base") model = AutoModelForMaskedLM.from_pretrained("rinna/japanese-roberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from rinna/japanese-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 543 MB
-
https://huggingface.co/rinna/japanese-roberta-base/resolve/main/tf_model.h5
- Command line
-
hf download hf://rinna/japanese-roberta-base/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/rinna/japanese-roberta-base/resolve/main/tf_model.h5
543 MB
- Xet hash:
- 060702b8fd25a36211195a5abb387b48808c36720f5316ce3887d177ff5d25fa
- Size of remote file:
- 543 MB
- SHA256:
- 7523f2517150b2193b087c09f30e16d8441dd11b74b3c61821d37ed5e4a0c994
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