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mohitskaushal
/
LED-Layman-Simplified-Final

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

Instructions to use mohitskaushal/LED-Layman-Simplified-Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mohitskaushal/LED-Layman-Simplified-Final with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("mohitskaushal/LED-Layman-Simplified-Final")
    model = AutoModelForSeq2SeqLM.from_pretrained("mohitskaushal/LED-Layman-Simplified-Final")
  • Notebooks
  • Google Colab
  • Kaggle
LED-Layman-Simplified-Final
1.84 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mohitskaushal's picture
mohitskaushal
Upload tokenizer
d42c0f9 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    5.17 kB
    Upload LEDForConditionalGeneration 8 months ago
  • config.json
    1.26 kB
    Upload LEDForConditionalGeneration 8 months ago
  • generation_config.json
    163 Bytes
    Upload LEDForConditionalGeneration 8 months ago
  • merges.txt
    456 kB
    Upload tokenizer 8 months ago
  • model.safetensors
    1.84 GB
    xet
    Upload LEDForConditionalGeneration 8 months ago
  • special_tokens_map.json
    957 Bytes
    Upload tokenizer 8 months ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer 8 months ago
  • vocab.json
    798 kB
    Upload tokenizer 8 months ago