Transformers
PyTorch
ONNX
English
t5
text2text-generation
grammar-correction
text-generation-inference
Instructions to use visheratin/t5-efficient-mini-grammar-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use visheratin/t5-efficient-mini-grammar-correction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("visheratin/t5-efficient-mini-grammar-correction") model = AutoModelForSeq2SeqLM.from_pretrained("visheratin/t5-efficient-mini-grammar-correction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fc7c533c87445cc078f59a40cdc6df5379cf6e12329a9867acfeca8996a3c11
- Size of remote file:
- 80.8 MB
- SHA256:
- 48106ccf649ab8dca131f38fed3e7ff4f3f4696348e1b9c13c16a305906e4e17
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