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:
- 6eb5c7e7a9c7440d6791e9b35e443b60dc93153b18179706b9e36b2582ae4b8f
- Size of remote file:
- 1.06 kB
- SHA256:
- a6bff20f7672efde923ad637bba7371e9c369780f588c58444e6bf548235710a
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