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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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Update README.md

#10 opened 4 months ago by
cherry0328

Model Suggesting Synonyms as Spelling Errors: Seeking Guidance on Strict Spelling Error Detection

1
#9 opened almost 2 years ago by
Srish0211

Why is the output generated by model have 115 tokens when using transformers library

#8 opened almost 2 years ago by
lavina98

Higher token count?

➕ 3
#7 opened over 2 years ago by
ICG

vocabulary correction model

👍 1
#5 opened almost 3 years ago by
jbrower

Adding `safetensors` variant of this model

#4 opened about 3 years ago by
SFconvertbot

Double answers sometimes

#3 opened over 3 years ago by
zohairhadi

testdat

#2 opened over 3 years ago by
Neo87z1

Extraction Word

2
#1 opened almost 4 years ago by
japy
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