Transformers
PyTorch
JAX
Safetensors
Russian
t5
text2text-generation
normalization
denoising autoencoder
russian
text-generation-inference
Instructions to use cointegrated/rut5-small-normalizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rut5-small-normalizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-small-normalizer") model = AutoModelForSeq2SeqLM.from_pretrained("cointegrated/rut5-small-normalizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cb980628f8611a7417b4b27d60f3d98dd38cc11065d4f675501095e219220f5
- Size of remote file:
- 259 MB
- SHA256:
- 9116d26775fa095bbd24b03bf28bf3d7e801e19eaedc12ae19283d23f98ed721
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