Instructions to use Linhz/AlphaEdu_BartPho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linhz/AlphaEdu_BartPho with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Linhz/AlphaEdu_BartPho") model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/AlphaEdu_BartPho") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9156a38520bcc039f7afd3d7b95fb92913e37e60d88e5303abeebf7b3eddb2d6
- Size of remote file:
- 14.2 kB
- SHA256:
- 1308307259358c02e35c6c31da5f68d8dbf624d500b206558d5a49b8ce6d8fe3
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