Instructions to use Linhz/Vinewsqa_bartpho_qag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linhz/Vinewsqa_bartpho_qag with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Linhz/Vinewsqa_bartpho_qag") model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/Vinewsqa_bartpho_qag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e48d69159c7c150340fc0b41e18645d96d3d4e4673d0f8a79127d9926ff1085
- Size of remote file:
- 4.16 kB
- SHA256:
- 8c09821109eb6abdcc5dddd7007715481ea13750025a141c74daf5a6f31f8e1b
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