Instructions to use NlpHUST/t5-en-vi-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/t5-en-vi-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/t5-en-vi-small") model = AutoModelForSeq2SeqLM.from_pretrained("NlpHUST/t5-en-vi-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b3bc34089fe0e3f7f7228811f2ab9cb334446955f14ca1d1ebccd333012343e
- Size of remote file:
- 1.2 GB
- SHA256:
- 96811a7fd3e10599053573cc6280380b09e3525cabfe017eb7f88347be07e660
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