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ChaniM
/
tst-summarization

Summarization
Transformers
PyTorch
TensorBoard
English
pegasus
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use ChaniM/tst-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ChaniM/tst-summarization 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="ChaniM/tst-summarization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ChaniM/tst-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("ChaniM/tst-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
tst-summarization / runs
98.8 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 208 commits
ChaniM's picture
ChaniM
End of training
780f18e almost 3 years ago
  • Jun07_11-08-17_third-p100-tf
    Training in progress, step 1000 almost 3 years ago
  • Jun07_11-12-40_third-p100-tf
    Training in progress, step 1000 almost 3 years ago
  • Jun07_11-13-36_third-p100-tf
    Training in progress, step 1000 almost 3 years ago
  • Jun07_11-33-20_third-p100-tf
    Training in progress, step 1000 almost 3 years ago
  • Jun07_11-59-19_third-p100-tf
    Training in progress, step 1000 almost 3 years ago
  • Jun07_12-01-07_third-p100-tf
    Training in progress, step 104000 almost 3 years ago
  • Jun08_09-59-55_third-p100-tf
    End of training almost 3 years ago