Question Answering
Transformers
PyTorch
Safetensors
Japanese
roberta
Generated from Trainer
bert
jaquad
Instructions to use tsmatz/roberta_qa_japanese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tsmatz/roberta_qa_japanese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tsmatz/roberta_qa_japanese")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tsmatz/roberta_qa_japanese") model = AutoModelForQuestionAnswering.from_pretrained("tsmatz/roberta_qa_japanese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tsmatz/roberta_qa_japanese: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/tsmatz/roberta_qa_japanese/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tsmatz/roberta_qa_japanese/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tsmatz/roberta_qa_japanese/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- fbe23098b824d054c79f211d299175c5f7856c99a1a3646c8140e9364b70ce7e
- Size of remote file:
- 440 MB
- SHA256:
- 6dce8875e4d1ae4112cc0fbc1c64a8a68efd3bd4491591b3c4a002e0df1ba3b8
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