Instructions to use voidful/cantonese-question-generation-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/cantonese-question-generation-bart-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/cantonese-question-generation-bart-base") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/cantonese-question-generation-bart-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 705dab80d33bce7b90eb999759e0057b5130fe30cd92b0c8491c9874f69e8996
- Size of remote file:
- 712 MB
- SHA256:
- 60c660fbbe130d29e24c174477e866f322d1abb43275551fba9db19eeada4989
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