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VietAI
/
vit5-large

Question Answering
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Vietnamese
t5
text2text-generation
summarization
translation
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use VietAI/vit5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VietAI/vit5-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="VietAI/vit5-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("VietAI/vit5-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("VietAI/vit5-large")
  • Notebooks
  • Google Colab
  • Kaggle
vit5-large
9.5 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 27 commits
justinphan3110's picture
justinphan3110
Update README.md
b4c595d over 3 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    1.23 kB
    Update README.md over 3 years ago
  • config.json
    640 Bytes
    Update config.json almost 4 years ago
  • flax_model.msgpack
    3.17 GB
    xet
    Fix OOV problem almost 4 years ago
  • pytorch_model.bin
    3.17 GB
    xet
    Fix OOV problem almost 4 years ago
  • spiece.model
    820 kB
    xet
    Add vit5 large model about 4 years ago
  • tf_model.h5
    3.17 GB
    xet
    Fix OOV problem almost 4 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer.json almost 4 years ago