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stas
/
t5-very-small-random

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

Instructions to use stas/t5-very-small-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use stas/t5-very-small-random with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("stas/t5-very-small-random")
    model = AutoModelForSeq2SeqLM.from_pretrained("stas/t5-very-small-random")
  • Notebooks
  • Google Colab
  • Kaggle
t5-very-small-random
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  • 1 contributor
History: 4 commits
stas's picture
stas
Update README.md
988f491 about 5 years ago
  • .gitattributes
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    initial commit over 5 years ago
  • README.md
    106 Bytes
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  • config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    5.64 MB
    xet
    add t5-very-small-random over 5 years ago
  • special_tokens_map.json
    1.79 kB
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  • spiece.model
    792 kB
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  • t5-make-very-small-model.py
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  • tokenizer.json
    1.39 MB
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  • tokenizer_config.json
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  • unigram.json
    1.83 MB
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