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vennify
/
t5-base-grammar-correction

Transformers
PyTorch
English
t5
text2text-generation
grammar
text-generation-inference
Model card Files Files and versions
xet
Community
10

Instructions to use vennify/t5-base-grammar-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vennify/t5-base-grammar-correction with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("vennify/t5-base-grammar-correction")
    model = AutoModelForSeq2SeqLM.from_pretrained("vennify/t5-base-grammar-correction")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-grammar-correction
Ctrl+K
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  • 3 contributors
History: 6 commits
EricFillion's picture
EricFillion
Updated type to "text2text-generation"
9e4a09d over 4 years ago
  • .gitattributes
    737 Bytes
    initial commit over 4 years ago
  • README.md
    939 Bytes
    Updated type to "text2text-generation" over 4 years ago
  • config.json
    1.42 kB
    Initial commit over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Initial commit over 4 years ago
  • special_tokens_map.json
    1.79 kB
    Initial commit over 4 years ago
  • spiece.model
    792 kB
    xet
    Initial commit over 4 years ago
  • tokenizer.json
    1.39 MB
    Initial commit over 4 years ago
  • tokenizer_config.json
    1.92 kB
    Initial commit over 4 years ago