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VietAI
/
envit5-base

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
1

Instructions to use VietAI/envit5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VietAI/envit5-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="VietAI/envit5-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("VietAI/envit5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("VietAI/envit5-base")
  • Notebooks
  • Google Colab
  • Kaggle
envit5-base
3.31 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 8 commits
justinphan3110's picture
justinphan3110
Update README.md
566dbc9 over 3 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    2.41 kB
    Update README.md over 3 years ago
  • config.json
    721 Bytes
    Add pytorch model almost 4 years ago
  • flax_model.msgpack
    1.1 GB
    xet
    Add flax model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.1 GB
    xet
    Add pytorch model almost 4 years ago
  • spiece.model
    1.1 MB
    xet
    Add pytorch model almost 4 years ago
  • tf_model.h5
    1.1 GB
    xet
    Add TF model almost 4 years ago
  • tokenizer.json
    3.51 MB
    Add flax model almost 4 years ago