Transformers
PyTorch
Safetensors
Russian
t5
text2text-generation
russian
paraphrasing
paraphraser
paraphrase
text-generation-inference
Instructions to use cointegrated/rut5-base-paraphraser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rut5-base-paraphraser with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-base-paraphraser") model = AutoModelForSeq2SeqLM.from_pretrained("cointegrated/rut5-base-paraphraser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1d096855c0a0802b354f573b3ce1d38f4a319f4da020349a424938da20d5b4c
- Size of remote file:
- 977 MB
- SHA256:
- 7fd099ff8dbbe427301f54ea575461f1152e19b39bbcd07d048c40fbbf1394f4
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