Transformers
PyTorch
Russian
t5
text2text-generation
Simplification
Summarization
paraphrase
text-generation-inference
Instructions to use DmitriyVasiliev/ruT5-base-simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DmitriyVasiliev/ruT5-base-simplification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DmitriyVasiliev/ruT5-base-simplification") model = AutoModelForSeq2SeqLM.from_pretrained("DmitriyVasiliev/ruT5-base-simplification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd1a18787b8c473586e7afcbce8eeb716891564df8903753565565bafc92b8d5
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size 891644712
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