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eilamc14
/
t5-large-text-simplification

Transformers
Safetensors
English
t5
text2text-generation
text-simplification
WikiLarge
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use eilamc14/t5-large-text-simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use eilamc14/t5-large-text-simplification with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("eilamc14/t5-large-text-simplification")
    model = AutoModelForSeq2SeqLM.from_pretrained("eilamc14/t5-large-text-simplification")
  • Notebooks
  • Google Colab
  • Kaggle
t5-large-text-simplification
2.95 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
eilamc14's picture
eilamc14
Update README.md
767a8ce verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    10.4 kB
    Update README.md 4 months ago
  • config.json
    1.47 kB
    Upload T5ForConditionalGeneration 8 months ago
  • generation_config.json
    122 Bytes
    Upload T5ForConditionalGeneration 8 months ago
  • model.safetensors
    2.95 GB
    xet
    Upload T5ForConditionalGeneration 8 months ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer 8 months ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer 8 months ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    20.9 kB
    Upload tokenizer 8 months ago