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kmfoda
/
long-t5-tglobal-xxl

Transformers
PyTorch
JAX
English
longt5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use kmfoda/long-t5-tglobal-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kmfoda/long-t5-tglobal-xxl with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("kmfoda/long-t5-tglobal-xxl")
    model = AutoModelForSeq2SeqLM.from_pretrained("kmfoda/long-t5-tglobal-xxl", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
long-t5-tglobal-xxl
6.14 GB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 10 commits
nielsr's picture
nielsr HF Staff
Fix code example
31b0467 about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit over 4 years ago
  • README.md
    3.01 kB
    Fix code example about 4 years ago
  • config.json
    854 Bytes
    Fix untie word embeddings over 4 years ago
  • flax_model.msgpack
    3.13 GB
    xet
    Add config + PT and Flax ckpts over 4 years ago
  • pytorch_model.bin
    3 GB
    xet
    Add config + PT and Flax ckpts over 4 years ago
  • spiece.model
    792 kB
    xet
    Copy tokenizer files from t5-large over 4 years ago
  • tokenizer.json
    1.39 MB
    Copy tokenizer files from t5-large over 4 years ago