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d0r1h
/
LEDBill

Summarization
Transformers
PyTorch
led
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Community
5

Instructions to use d0r1h/LEDBill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use d0r1h/LEDBill 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="d0r1h/LEDBill")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("d0r1h/LEDBill")
    model = AutoModelForMultimodalLM.from_pretrained("d0r1h/LEDBill")
  • Notebooks
  • Google Colab
  • Kaggle
LEDBill
1.95 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 18 commits
d0r1h's picture
d0r1h
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model (#4)
1da3120 verified about 2 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    12.1 kB
    Librarian Bot: Add base_model information to model (#4) about 2 years ago
  • config.json
    1.28 kB
    Upload config.json about 4 years ago
  • merges.txt
    456 kB
    Upload merges.txt about 4 years ago
  • optimizer.pt
    1.29 GB
    xet
    Upload optimizer.pt with git-lfs about 4 years ago
  • pytorch_model.bin
    648 MB
    xet
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  • rng_state.pth
    14.5 kB
    xet
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  • scaler.pt
    559 Bytes
    xet
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  • scheduler.pt
    623 Bytes
    xet
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  • special_tokens_map.json
    772 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.31 kB
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  • trainer_state.json
    3.01 kB
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  • training_args.bin
    3.12 kB
    xet
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  • vocab.json
    798 kB
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