Fill-Mask
Transformers
Safetensors
Vietnamese
t5
text2text-generation
vietnamese
denoising
text-generation-inference
Instructions to use nbdaaa/t5-small-vietnamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbdaaa/t5-small-vietnamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nbdaaa/t5-small-vietnamese")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nbdaaa/t5-small-vietnamese") model = AutoModelForSeq2SeqLM.from_pretrained("nbdaaa/t5-small-vietnamese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea1d82eeb1694e6c934fc6c21d0303a4f22311331f377989d6d75241cab17e58
- Size of remote file:
- 250 MB
- SHA256:
- b3d1021bed7b8369c39a27410678091d90da34e500acc6e1dda5cec573224bd4
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