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bakhitovd
/
led-base-7168-ml

Summarization
Transformers
PyTorch
led
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use bakhitovd/led-base-7168-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bakhitovd/led-base-7168-ml 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="bakhitovd/led-base-7168-ml")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("bakhitovd/led-base-7168-ml")
    model = AutoModelForSeq2SeqLM.from_pretrained("bakhitovd/led-base-7168-ml")
  • Notebooks
  • Google Colab
  • Kaggle
led-base-7168-ml
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  • 1 contributor
History: 7 commits
bakhitovd's picture
bakhitovd
Update README.md
ac3ab1f about 3 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • optimizer.pt
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  • pytorch_model.bin
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  • rng_state.pth
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  • scaler.pt
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  • scheduler.pt
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • trainer_state.json
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  • training_args.bin
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  • vocab.json
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