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allenai
/
DREAM

Transformers
PyTorch
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use allenai/DREAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use allenai/DREAM with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("allenai/DREAM")
    model = AutoModelForSeq2SeqLM.from_pretrained("allenai/DREAM")
  • Notebooks
  • Google Colab
  • Kaggle
DREAM
45.5 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
joaogante's picture
joaogante
Adding generation config file(s)
767ddfe over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    3.67 kB
    Update README.md over 3 years ago
  • config.json
    1.51 kB
    Upload T5ForConditionalGeneration over 3 years ago
  • generation_config.json
    147 Bytes
    Adding generation config file(s) over 3 years ago
  • pytorch_model-00001-of-00005.bin
    9.86 GB
    xet
    Upload T5ForConditionalGeneration over 3 years ago
  • pytorch_model-00002-of-00005.bin
    10 GB
    xet
    Upload T5ForConditionalGeneration over 3 years ago
  • pytorch_model-00003-of-00005.bin
    9.93 GB
    xet
    Upload T5ForConditionalGeneration over 3 years ago
  • pytorch_model-00004-of-00005.bin
    9.93 GB
    xet
    Upload T5ForConditionalGeneration over 3 years ago
  • pytorch_model-00005-of-00005.bin
    5.77 GB
    xet
    Upload T5ForConditionalGeneration over 3 years ago
  • pytorch_model.bin.index.json
    46.1 kB
    Upload T5ForConditionalGeneration over 3 years ago