Instructions to use Askinkaty/RuT5_GEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Askinkaty/RuT5_GEC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Askinkaty/RuT5_GEC") model = AutoModelForSeq2SeqLM.from_pretrained("Askinkaty/RuT5_GEC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Askinkaty/RuT5_GEC: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/Askinkaty/RuT5_GEC/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Askinkaty/RuT5_GEC/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Askinkaty/RuT5_GEC/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- f9bd32c8e0b125b8860e385db7ba19487b2c560f6e34bfcc9e844c1793dd66c6
- Size of remote file:
- 2.95 GB
- SHA256:
- 83b31779d1bd88917d3f94338a1b6e5a44b05b1d8582c61fecfaecf19fe85aa2
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