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Wimflorijn
/
t5-text2text

Transformers
google-tensorflow TensorFlow
Safetensors
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Model card Files Files and versions
xet
Community
7

Instructions to use Wimflorijn/t5-text2text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Wimflorijn/t5-text2text with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Wimflorijn/t5-text2text")
    model = AutoModelForSeq2SeqLM.from_pretrained("Wimflorijn/t5-text2text")
  • Notebooks
  • Google Colab
  • Kaggle
t5-text2text
122 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 40 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
1b9d53d almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    859 Bytes
    Upload model about 3 years ago
  • config.json
    741 Bytes
    Upload model about 3 years ago
  • model.safetensors
    36 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    36.1 MB
    xet
    Upload model about 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload tokenizer about 3 years ago
  • tf_model.h5
    49.5 MB
    xet
    Upload model about 3 years ago
  • tokenizer.json
    411 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    2.52 kB
    Upload tokenizer about 3 years ago