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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="tsmatz/roberta_qa_japanese")# pip install -U transformers accelerate # 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 training_args.bin from tsmatz/roberta_qa_japanese: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/tsmatz/roberta_qa_japanese/resolve/main/training_args.bin
- Command line
-
hf download hf://tsmatz/roberta_qa_japanese/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tsmatz/roberta_qa_japanese/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 07edb809e8d9935e5dad69df0a1c06d6efd40401b49c5e58d021c532093c5911
- Size of remote file:
- 3.38 kB
- SHA256:
- 37bb96b457c20462a8b382eaa0039e0f4704736c878ea2161b5dcc8af3635d98
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