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AlanRobotics
/
ruT5-conversation

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use AlanRobotics/ruT5-conversation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AlanRobotics/ruT5-conversation with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/ruT5-conversation")
    model = AutoModelForSeq2SeqLM.from_pretrained("AlanRobotics/ruT5-conversation")
  • Notebooks
  • Google Colab
  • Kaggle
ruT5-conversation
1.79 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
aa2fa0c almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.51 kB
    Upload T5ForConditionalGeneration about 3 years ago
  • model.safetensors
    892 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    892 MB
    xet
    Upload T5ForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload tokenizer about 3 years ago
  • spiece.model
    1 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer.json
    2.64 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    2.41 kB
    Upload tokenizer about 3 years ago