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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("visheratin/t5-efficient-mini-grammar-correction") model = AutoModelForMultimodalLM.from_pretrained("visheratin/t5-efficient-mini-grammar-correction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32ad47ece6eebcf677a4c33b3c99f8e62b9ec71d8bee7ed0093c1624da607eaf
- Size of remote file:
- 143 MB
- SHA256:
- 307ebb5cb593bc995ae00cb533ee7bd5079a3c851b762dbf583e1493eed89e4b
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