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Jawhaa12
/
mn-bert-summarizer

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

Instructions to use Jawhaa12/mn-bert-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jawhaa12/mn-bert-summarizer with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Jawhaa12/mn-bert-summarizer")
    model = AutoModelForSeq2SeqLM.from_pretrained("Jawhaa12/mn-bert-summarizer")
  • Notebooks
  • Google Colab
  • Kaggle
mn-bert-summarizer
113 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Jawhaa12's picture
Jawhaa12
Upload tokenizer
39ba847 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload model 6 months ago
  • config.json
    1.6 kB
    Upload model 6 months ago
  • generation_config.json
    234 Bytes
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  • model.safetensors
    112 MB
    xet
    Upload model 6 months ago
  • special_tokens_map.json
    833 Bytes
    Upload tokenizer 6 months ago
  • tokenizer.json
    910 kB
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    1.51 kB
    Upload tokenizer 6 months ago
  • vocab.txt
    406 kB
    Upload tokenizer 6 months ago