Instructions to use NlpHUST/t5-vi-en-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/t5-vi-en-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/t5-vi-en-small") model = AutoModelForSeq2SeqLM.from_pretrained("NlpHUST/t5-vi-en-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1df06580719a56fb0a9efa58503651a280ed54cac5f216b132bd63062ef8e4ed
- Size of remote file:
- 1.2 GB
- SHA256:
- a8f2d7abee54b7c3d84104329da59c825e8867faf065695731e058dc1c1b9c7e
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