Instructions to use JeremyFeng/chinese-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremyFeng/chinese-question-answering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="JeremyFeng/chinese-question-answering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("JeremyFeng/chinese-question-answering") model = AutoModelForQuestionAnswering.from_pretrained("JeremyFeng/chinese-question-answering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c0e11150f9fb2e9e493bbd7264c5182589709f9ae0dc789b2105aff705c234d
- Size of remote file:
- 407 MB
- SHA256:
- 2c1c838b0cadf73b99697889b060a3e6f4309d812fc63688f96b9b92e96c8370
路
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