Transformers
PyTorch
English
t5
text2text-generation
grammatical error correction
text2text
text-generation-inference
Instructions to use Unbabel/gec-t5_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/gec-t5_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/gec-t5_small") model = AutoModelForSeq2SeqLM.from_pretrained("Unbabel/gec-t5_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 071527e58f811e3159c422caa1aeb52cf9996bb7ab9e940aaece35ba633f01d4
- Size of remote file:
- 242 MB
- SHA256:
- 5767cb48bbfa86288b1bcb4db8b15d798ad72bb23e4db695f2e4394882fa7766
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