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medelharchaoui
/
t5-large-lora-r8-squad

Text Generation
PEFT
Safetensors
English
t5
encoder-decoder
question-answering
extractive-qa
squad
lora
parameter-efficient
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use medelharchaoui/t5-large-lora-r8-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use medelharchaoui/t5-large-lora-r8-squad with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-large")
    model = PeftModel.from_pretrained(base_model, "medelharchaoui/t5-large-lora-r8-squad")
  • Notebooks
  • Google Colab
  • Kaggle
t5-large-lora-r8-squad
11.9 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
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medelharchaoui
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  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    4.06 kB
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  • adapter_config.json
    1.01 kB
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  • adapter_model.safetensors
    9.48 MB
    xet
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    2.38 kB
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