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cjvt
/
t5-sl-small

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

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

  • Libraries
  • Transformers

    How to use cjvt/t5-sl-small with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("cjvt/t5-sl-small")
    model = AutoModelForSeq2SeqLM.from_pretrained("cjvt/t5-sl-small")
  • Notebooks
  • Google Colab
  • Kaggle
t5-sl-small
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
matejulcar's picture
matejulcar
Update README.md
614a33f over 3 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    912 Bytes
    Update README.md over 3 years ago
  • config.json
    656 Bytes
    updated with v2 model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    307 MB
    xet
    updated with v2 model almost 4 years ago
  • special_tokens_map.json
    1.79 kB
    added tokenizerfast over 3 years ago
  • spiece.model
    797 kB
    xet
    First version of the model about 4 years ago
  • tokenizer.json
    2.34 MB
    added tokenizerfast over 3 years ago
  • tokenizer_config.json
    1.92 kB
    added tokenizerfast over 3 years ago