Instructions to use NlpHUST/t5-en-vi-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/t5-en-vi-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/t5-en-vi-base") model = AutoModelForSeq2SeqLM.from_pretrained("NlpHUST/t5-en-vi-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b06b9e79d2cd5873ab7f6ab818ad714032f8ecf37c49ac9b08b1b4297b61835
- Size of remote file:
- 2.33 GB
- SHA256:
- e44f3a87ab4bb7deb34557f3fde870a6dc0c512c5a4b4b54e1ab5703697fffc4
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