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akreal
/
mbart-large-50-finetuned-slurp

Transformers
PyTorch
English
mbart
text2text-generation
mbart-50
Model card Files Files and versions
xet
Community
2

Instructions to use akreal/mbart-large-50-finetuned-slurp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use akreal/mbart-large-50-finetuned-slurp with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("akreal/mbart-large-50-finetuned-slurp")
    model = AutoModelForSeq2SeqLM.from_pretrained("akreal/mbart-large-50-finetuned-slurp", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mbart-large-50-finetuned-slurp
2.45 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
akreal's picture
akreal
Add model and configuration.
0ea0a1a unverified over 4 years ago
  • .gitattributes
    1.17 kB
    initial commit over 4 years ago
  • README.md
    385 Bytes
    Update README.md over 4 years ago
  • config.json
    1.45 kB
    Add model and configuration. over 4 years ago
  • pytorch_model.bin
    2.44 GB
    xet
    Add model and configuration. over 4 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Add model and configuration. over 4 years ago
  • special_tokens_map.json
    649 Bytes
    Add model and configuration. over 4 years ago
  • tokenizer_config.json
    1.04 kB
    Add model and configuration. over 4 years ago