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momo
/
rsp-sum

Transformers
PyTorch
mbart
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use momo/rsp-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use momo/rsp-sum with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("momo/rsp-sum")
    model = AutoModelForSeq2SeqLM.from_pretrained("momo/rsp-sum")
  • Notebooks
  • Google Colab
  • Kaggle
rsp-sum
1.23 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
momo's picture
momo
add vocab
45f5ac9 almost 3 years ago
  • .gitattributes
    1.57 kB
    add model almost 3 years ago
  • README.md
    28 Bytes
    initial commit almost 3 years ago
  • config.json
    1.41 kB
    add model almost 3 years ago
  • generation_config.json
    261 Bytes
    add model almost 3 years ago
  • pytorch_model.bin
    1.22 GB
    xet
    add model almost 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    add vocab almost 3 years ago
  • special_tokens_map.json
    649 Bytes
    add model almost 3 years ago
  • tokenizer_config.json
    531 Bytes
    add model almost 3 years ago