Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Chhabi
/
mt5-Health-Nepali

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

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

  • Libraries
  • Transformers

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

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Chhabi/mt5-Health-Nepali")
    model = AutoModelForSeq2SeqLM.from_pretrained("Chhabi/mt5-Health-Nepali")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-Health-Nepali
1.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 83 commits
Chhabi's picture
Chhabi
Fine-tuned tokenizer with generation hyperparameters
6930522 verified about 2 years ago
  • .gitattributes
    1.57 kB
    Fine-tuned tokenizer with generation hyperparameters over 2 years ago
  • config.json
    789 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
    1.2 GB
    xet
    Fine-tuned model with generation hyperparameters about 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