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

  • Log In
  • Sign Up

Adarsh203
/
Nepali-summ

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

Instructions to use Adarsh203/Nepali-summ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Adarsh203/Nepali-summ with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Adarsh203/Nepali-summ")
    model = AutoModelForSeq2SeqLM.from_pretrained("Adarsh203/Nepali-summ")
  • Notebooks
  • Google Colab
  • Kaggle
Nepali-summ
1.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Adarsh203's picture
Adarsh203
Upload tokenizer
82db052 verified about 2 years ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 2 years ago
  • README.md
    21 Bytes
    initial commit about 2 years ago
  • config.json
    802 Bytes
    Upload MT5ForConditionalGeneration about 2 years ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration about 2 years ago
  • model.safetensors
    1.2 GB
    xet
    Upload MT5ForConditionalGeneration about 2 years ago
  • special_tokens_map.json
    416 Bytes
    Upload tokenizer about 2 years ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    833 Bytes
    Upload tokenizer about 2 years ago