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ctu-aic
/
mt5-base-multilingual-summarization-multilarge-cs

Transformers
PyTorch
mt5
text2text-generation
Summarization
abstractive summarization
mt5-base
Czech
text2text generation
text generation
Model card Files Files and versions
xet
Community
2

Instructions to use ctu-aic/mt5-base-multilingual-summarization-multilarge-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ctu-aic/mt5-base-multilingual-summarization-multilarge-cs with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ctu-aic/mt5-base-multilingual-summarization-multilarge-cs")
    model = AutoModelForSeq2SeqLM.from_pretrained("ctu-aic/mt5-base-multilingual-summarization-multilarge-cs")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-base-multilingual-summarization-multilarge-cs
2.34 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
krotima1's picture
krotima1
feat: readme update
950a145 over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • MultilingualSummarizer.ipynb
    21.6 kB
    feat: add summarizer over 3 years ago
  • README.md
    6.15 kB
    feat: readme update over 3 years ago
  • config.json
    783 Bytes
    feat: add model over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.33 GB
    xet
    feat: add model over 3 years ago
  • special_tokens_map.json
    65 Bytes
    feat: add tokenizer over 3 years ago
  • spiece.model
    4.31 MB
    xet
    feat: add tokenizer over 3 years ago
  • tokenizer.json
    8.33 MB
    feat: add tokenizer over 3 years ago
  • tokenizer_config.json
    408 Bytes
    feat: add tokenizer over 3 years ago