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mohitskaushal
/
led-sectionaware-to-layman-summary

Transformers
Safetensors
led
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use mohitskaushal/led-sectionaware-to-layman-summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mohitskaushal/led-sectionaware-to-layman-summary with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("mohitskaushal/led-sectionaware-to-layman-summary")
    model = AutoModelForSeq2SeqLM.from_pretrained("mohitskaushal/led-sectionaware-to-layman-summary", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
led-sectionaware-to-layman-summary
925 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mohitskaushal's picture
mohitskaushal
Upload tokenizer
24068f8 verified 27 days ago
  • .gitattributes
    1.52 kB
    initial commit 27 days ago
  • README.md
    5.17 kB
    Upload LEDForConditionalGeneration 27 days ago
  • config.json
    1.25 kB
    Upload LEDForConditionalGeneration 27 days ago
  • generation_config.json
    173 Bytes
    Upload LEDForConditionalGeneration 27 days ago
  • merges.txt
    456 kB
    Upload tokenizer 27 days ago
  • model.safetensors
    920 MB
    xet
    Upload LEDForConditionalGeneration 27 days ago
  • special_tokens_map.json
    957 Bytes
    Upload tokenizer 27 days ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer 27 days ago
  • tokenizer_config.json
    1.4 kB
    Upload tokenizer 27 days ago
  • vocab.json
    798 kB
    Upload tokenizer 27 days ago