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usakha
/
Prophetnet_multiNews_model

Summarization
Transformers
PyTorch
TensorBoard
Safetensors
English
prophetnet
text2text-generation
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use usakha/Prophetnet_multiNews_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use usakha/Prophetnet_multiNews_model 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="usakha/Prophetnet_multiNews_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("usakha/Prophetnet_multiNews_model")
    model = AutoModelForSeq2SeqLM.from_pretrained("usakha/Prophetnet_multiNews_model")
  • Notebooks
  • Google Colab
  • Kaggle
Prophetnet_multiNews_model / runs
24.8 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 14 commits
usakha's picture
usakha
Training in progress, step 7500
82e7b7f almost 3 years ago
  • Jun27_10-50-17_254e82120cc2
    Training in progress, step 500 almost 3 years ago
  • Jun27_11-15-34_254e82120cc2
    Training in progress, step 500 almost 3 years ago
  • Jun27_11-18-55_254e82120cc2
    Training in progress, step 1000 almost 3 years ago
  • Jun27_17-40-53_254e82120cc2
    Training in progress, step 7500 almost 3 years ago