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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
451 MB
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  • 1 contributor
History: 91 commits
Wimflorijn's picture
Wimflorijn
Upload tokenizer
75bcd4a verified almost 2 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    860 Bytes
    Upload TFT5ForConditionalGeneration almost 2 years ago
  • config.json
    1.6 kB
    Upload T5ForConditionalGeneration almost 2 years ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration almost 2 years ago
  • model.safetensors
    209 MB
    xet
    Upload T5ForConditionalGeneration almost 2 years ago
  • special_tokens_map.json
    2.67 kB
    Upload tokenizer almost 2 years ago
  • tf_model.h5
    241 MB
    xet
    Upload TFT5ForConditionalGeneration almost 2 years ago
  • tokenizer.json
    498 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    22 kB
    Upload tokenizer almost 2 years ago