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:
- 2c10fa0d1ee711d26812e41ab56821885905b3d7c049ba342fea9e472fa37a1e
- Size of remote file:
- 20.3 MB
- SHA256:
- 67bb9f9b0db9a50eca338e6297a15b30c73042b3292b42b113c10df882140a24
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