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Geerath
/
T5_question_seperator

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

Instructions to use Geerath/T5_question_seperator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Geerath/T5_question_seperator with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Geerath/T5_question_seperator")
    model = AutoModelForSeq2SeqLM.from_pretrained("Geerath/T5_question_seperator")
  • Notebooks
  • Google Colab
  • Kaggle
T5_question_seperator
895 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Geerath's picture
Geerath
Upload tokenizer
3ab80a2 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload T5ForConditionalGeneration almost 2 years ago
  • config.json
    1.54 kB
    Upload T5ForConditionalGeneration almost 2 years ago
  • generation_config.json
    112 Bytes
    Upload T5ForConditionalGeneration almost 2 years ago
  • model.safetensors
    892 MB
    xet
    Upload T5ForConditionalGeneration almost 2 years ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer almost 2 years ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    20.9 kB
    Upload tokenizer almost 2 years ago