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gsarti
/
it5-efficient-small-el32

Transformers
PyTorch
Italian
t5
text2text-generation
seq2seq
lm-head
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use gsarti/it5-efficient-small-el32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gsarti/it5-efficient-small-el32 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-efficient-small-el32")
    model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-efficient-small-el32")
  • Notebooks
  • Google Colab
  • Kaggle
it5-efficient-small-el32
573 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
gsarti's picture
gsarti
Update README.md
cea9dc2 verified almost 2 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    4.65 kB
    Update README.md almost 2 years ago
  • config.json
    654 Bytes
    Initial commit over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    569 MB
    xet
    Initial commit over 3 years ago
  • special_tokens_map.json
    1.79 kB
    Initial commit over 3 years ago
  • spiece.model
    817 kB
    xet
    Initial commit over 3 years ago
  • tokenizer.json
    2.45 MB
    Initial commit over 3 years ago
  • tokenizer_config.json
    1.92 kB
    Initial commit over 3 years ago