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Desalegnn
/
amharic-mT5-summarization

Transformers
Safetensors
mt5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use Desalegnn/amharic-mT5-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Desalegnn/amharic-mT5-summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Desalegnn/amharic-mT5-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("Desalegnn/amharic-mT5-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
amharic-mT5-summarization
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  • 1 contributor
History: 3 commits
Desalegnn's picture
Desalegnn
Upload tokenizer
f40651a verified about 1 month ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 1 month ago
  • README.md
    5.17 kB
    Upload MT5ForConditionalGeneration about 1 month ago
  • config.json
    854 Bytes
    Upload MT5ForConditionalGeneration about 1 month ago
  • generation_config.json
    897 Bytes
    Upload MT5ForConditionalGeneration about 1 month ago
  • model.safetensors
    2.33 GB
    xet
    Upload MT5ForConditionalGeneration about 1 month ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    276 Bytes
    Upload tokenizer about 1 month ago