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Chhabi
/
mt5-base-finetuned-Nepali-Health

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

Instructions to use Chhabi/mt5-base-finetuned-Nepali-Health with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Chhabi/mt5-base-finetuned-Nepali-Health with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Chhabi/mt5-base-finetuned-Nepali-Health")
    model = AutoModelForSeq2SeqLM.from_pretrained("Chhabi/mt5-base-finetuned-Nepali-Health", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-base-finetuned-Nepali-Health
2.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
Chhabi's picture
Chhabi
Fine-tuned tokenizer with generation hyperparameters
b340ea7 over 2 years ago
  • .gitattributes
    1.57 kB
    Fine-tuned tokenizer with generation hyperparameters over 2 years ago
  • config.json
    815 Bytes
    Fine-tuned model with generation hyperparameters over 2 years ago
  • generation_config.json
    112 Bytes
    Fine-tuned model with generation hyperparameters over 2 years ago
  • model.safetensors
    2.33 GB
    xet
    Fine-tuned model with generation hyperparameters over 2 years ago
  • special_tokens_map.json
    416 Bytes
    Fine-tuned tokenizer with generation hyperparameters over 2 years ago
  • spiece.model
    4.31 MB
    xet
    Fine-tuned tokenizer with generation hyperparameters over 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Fine-tuned tokenizer with generation hyperparameters over 2 years ago
  • tokenizer_config.json
    941 Bytes
    Fine-tuned tokenizer with generation hyperparameters over 2 years ago