Instructions to use frett/chinese_paragraph_bert-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frett/chinese_paragraph_bert-ext with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("frett/chinese_paragraph_bert-ext") model = AutoModelForMultipleChoice.from_pretrained("frett/chinese_paragraph_bert-ext") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb3eb865df686ffcd8e7646a25c92aff2b51d675cc221c27177782c029fac963
- Size of remote file:
- 5.3 kB
- SHA256:
- 71069dbaf2fafd231651264158f91bf53eab3a9e2f4d96ae15c824df41644e3a
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