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prithvi1029
/
flan-t5-dialogsum-lora

Summarization
Transformers
Safetensors
PEFT
lora
flan-t5
dialogsum
Model card Files Files and versions
xet
Community

Instructions to use prithvi1029/flan-t5-dialogsum-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prithvi1029/flan-t5-dialogsum-lora with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="prithvi1029/flan-t5-dialogsum-lora")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("prithvi1029/flan-t5-dialogsum-lora", dtype="auto")
  • PEFT

    How to use prithvi1029/flan-t5-dialogsum-lora with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
flan-t5-dialogsum-lora
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  • 1 contributor
History: 2 commits
prithvi1029's picture
prithvi1029
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  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
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  • adapter_config.json
    847 Bytes
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  • adapter_model.safetensors
    14.2 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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