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
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
Extraction Word
2
#1 opened almost 4 years ago
by
japy