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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", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tst-summarization
4.57 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 214 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
d93d7b0 almost 3 years ago
  • runs
    End of training about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 about 3 years ago
  • README.md
    1.12 kB
    Update README.md (#1) about 3 years ago
  • all_results.json
    675 Bytes
    End of training about 3 years ago
  • config.json
    1.43 kB
    Training in progress, step 1000 about 3 years ago
  • eval_results.json
    323 Bytes
    End of training about 3 years ago
  • generated_predictions.txt
    1.55 MB
    End of training about 3 years ago
  • generation_config.json
    224 Bytes
    End of training about 3 years ago
  • model.safetensors
    2.28 GB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • predict_results.json
    354 Bytes
    End of training about 3 years ago
  • pytorch_model.bin
    2.28 GB
    xet
    End of training about 3 years ago
  • special_tokens_map.json
    1.77 kB
    Training in progress, step 1000 about 3 years ago
  • tokenizer.json
    6.6 MB
    Training in progress, step 1000 about 3 years ago
  • tokenizer_config.json
    1.96 kB
    Training in progress, step 1000 about 3 years ago
  • training_args.bin
    3.77 kB
    xet
    End of training about 3 years ago