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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-small-normalizer") model = AutoModelForMultimodalLM.from_pretrained("cointegrated/rut5-small-normalizer") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 1296e93
add widget example
Browse files
README.md
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- normalization
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- denoising autoencoder
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- russian
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license: mit
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---
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This is a small Russian denoising autoencoder. It can be used for restoring corrupted sentences.
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- normalization
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- denoising autoencoder
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- russian
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widget:
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- text: "меня тобой не понимать"
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license: mit
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---
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This is a small Russian denoising autoencoder. It can be used for restoring corrupted sentences.
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