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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vennify/t5-base-grammar-correction: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/vennify/t5-base-grammar-correction/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vennify/t5-base-grammar-correction/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vennify/t5-base-grammar-correction/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 3296a4b29b3ef2cd8d449f737aba3d394d1c8c94b7c3e2fb9438880196722b74
- Size of remote file:
- 892 MB
- SHA256:
- 10deee9a53b5c6d0f47f102c04d756a208a740cd6e00347715ff732b1ec01715
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