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dmitry-vorobiev
/
rubert_ria_headlines

Summarization
Transformers
PyTorch
Safetensors
Russian
encoder-decoder
text2text-generation
bert
rubert
Model card Files Files and versions
xet
Community
1

Instructions to use dmitry-vorobiev/rubert_ria_headlines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dmitry-vorobiev/rubert_ria_headlines 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="dmitry-vorobiev/rubert_ria_headlines")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("dmitry-vorobiev/rubert_ria_headlines")
    model = AutoModelForSeq2SeqLM.from_pretrained("dmitry-vorobiev/rubert_ria_headlines")
  • Notebooks
  • Google Colab
  • Kaggle
rubert_ria_headlines
1.66 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 17 commits
dmitry-vorobiev's picture
dmitry-vorobiev
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
43402b9 about 3 years ago
  • .gitattributes
    790 Bytes
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    2.59 kB
    Automatic correction of README.md metadata for keys. Contact website@huggingface.co for any question almost 5 years ago
  • config.json
    4.73 kB
    upd weights: 99% ria, title=36 over 5 years ago
  • model.safetensors
    828 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    828 MB
    xet
    upd weights: 99% ria, title=36 over 5 years ago
  • special_tokens_map.json
    156 Bytes
    add weights; trained for 1.6 ep on first 90% of ria_news dataset over 5 years ago
  • tokenizer_config.json
    389 Bytes
    upd weights: 99% ria, title=36 over 5 years ago
  • vocab.txt
    1.65 MB
    add weights; trained for 1.6 ep on first 90% of ria_news dataset over 5 years ago