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m3hrdadfi
/
bert2bert-fa-news-headline

Summarization
Transformers
PyTorch
Persian
encoder-decoder
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use m3hrdadfi/bert2bert-fa-news-headline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m3hrdadfi/bert2bert-fa-news-headline with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="m3hrdadfi/bert2bert-fa-news-headline")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/bert2bert-fa-news-headline")
    model = AutoModelForSeq2SeqLM.from_pretrained("m3hrdadfi/bert2bert-fa-news-headline")
  • Notebooks
  • Google Colab
  • Kaggle
bert2bert-fa-news-headline
1.42 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
julien-c's picture
julien-c HF Staff
Migrate model card from transformers-repo
7e55193 over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • README.md
    808 Bytes
    Migrate model card from transformers-repo over 5 years ago
  • config.json
    3.69 kB
    First version of bert2bert-fa-news-headline over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.42 GB
    xet
    First version of bert2bert-fa-news-headline over 5 years ago
  • vocab.txt
    1.2 MB
    First version of bert2bert-fa-news-headline over 5 years ago