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krotima1
/
mbart-at2h-c

Transformers
PyTorch
Czech
Czech
mbart
text2text-generation
abstractive summarization
mbart-cc25
Czech
Model card Files Files and versions
xet
Community
1

Instructions to use krotima1/mbart-at2h-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use krotima1/mbart-at2h-c with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("krotima1/mbart-at2h-c")
    model = AutoModelForSeq2SeqLM.from_pretrained("krotima1/mbart-at2h-c")
  • Notebooks
  • Google Colab
  • Kaggle
mbart-at2h-c
2.45 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 11 commits
krotima1
Merge branch 'main' of https://huggingface.co/krotima1/mbart-at2h-c into main
e6dd707 about 4 years ago
  • .gitattributes
    1.17 kB
    track .bin files using git-lfs about 4 years ago
  • README.md
    2.22 kB
    Update README.md about 4 years ago
  • Summarizer.ipynb
    9.05 kB
    add summarizer example about 4 years ago
  • config.json
    1.44 kB
    add model config about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.44 GB
    xet
    Add model about 4 years ago
  • special_tokens_map.json
    495 Bytes
    add tokenizer cs2cs about 4 years ago
  • tokenizer.json
    9.08 MB
    add tokenizer cs2cs about 4 years ago
  • tokenizer_config.json
    480 Bytes
    add tokenizer cs2cs about 4 years ago