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cointegrated
/
rut5-small

Transformers
PyTorch
JAX
Safetensors
Russian
mt5
text2text-generation
paraphrasing
russian
Model card Files Files and versions
xet
Community
2

Instructions to use cointegrated/rut5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cointegrated/rut5-small with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-small")
    model = AutoModelForSeq2SeqLM.from_pretrained("cointegrated/rut5-small")
  • Notebooks
  • Google Colab
  • Kaggle
rut5-small
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  • 3 contributors
History: 12 commits
cointegrated's picture
cointegrated
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
8d74f73 about 3 years ago
  • .gitattributes
    790 Bytes
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    1.77 kB
    Update README.md about 5 years ago
  • config.json
    666 Bytes
    Update config.json about 5 years ago
  • flax_model.msgpack
    259 MB
    xet
    upload flax model almost 5 years ago
  • model.safetensors
    259 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    259 MB
    xet
    Initial commit about 5 years ago
  • special_tokens_map.json
    98 Bytes
    Update special_tokens_map.json about 5 years ago
  • spiece.model
    640 kB
    xet
    Initial commit about 5 years ago
  • tokenizer_config.json
    1.8 kB
    Initial commit about 5 years ago