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Atmanstr
/
Flan-Summarybot-finetuned

PEFT
Safetensors
Transformers
lora
Model card Files Files and versions
xet
Community

Instructions to use Atmanstr/Flan-Summarybot-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Atmanstr/Flan-Summarybot-finetuned with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large")
    model = PeftModel.from_pretrained(base_model, "Atmanstr/Flan-Summarybot-finetuned")
  • Transformers

    How to use Atmanstr/Flan-Summarybot-finetuned with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Atmanstr/Flan-Summarybot-finetuned", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Flan-Summarybot-finetuned
12.7 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Atmanstr's picture
Atmanstr
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dd912a5 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    5.16 kB
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  • adapter_config.json
    818 Bytes
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  • adapter_model.safetensors
    9.48 MB
    xet
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  • special_tokens_map.json
    2.54 kB
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  • spiece.model
    792 kB
    xet
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    20.8 kB
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