Instructions to use NlpHUST/t5-vi-en-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/t5-vi-en-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/t5-vi-en-base") model = AutoModelForSeq2SeqLM.from_pretrained("NlpHUST/t5-vi-en-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a1db6e42f0e62ad151719af2213cc44e16eb157803dddd2bc3811b3b1ee8057
- Size of remote file:
- 2.33 GB
- SHA256:
- d6ef2552593977b733440c01c2e11419c09a2c9e62f3aa1829b6a70acda31745
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