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dropout05
/
t5-tiny

Transformers
PyTorch
JAX
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use dropout05/t5-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dropout05/t5-tiny with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("dropout05/t5-tiny")
    model = AutoModelForSeq2SeqLM.from_pretrained("dropout05/t5-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
t5-tiny
Ctrl+K
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  • 1 contributor
History: 5 commits
dropout05's picture
dropout05
add flax weights
a078917 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    31 Bytes
    Update README.md over 4 years ago
  • config.json
    1.41 kB
    fixed config over 4 years ago
  • flax_model.msgpack
    125 MB
    xet
    add flax weights over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    190 MB
    xet
    Initial commit. The model is dropout05/t5_2l_8h_512d_2048ff_vocab32128 with embeddings padded with zeros to the vocab_size 31128 over 4 years ago