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phoen1x
/
TF-Finetuned-xsum

Summarization
Transformers
google-tensorflow TensorFlow
English
t5
text2text-generation
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use phoen1x/TF-Finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use phoen1x/TF-Finetuned-xsum 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="phoen1x/TF-Finetuned-xsum")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("phoen1x/TF-Finetuned-xsum")
    model = AutoModelForSeq2SeqLM.from_pretrained("phoen1x/TF-Finetuned-xsum")
  • Notebooks
  • Google Colab
  • Kaggle
TF-Finetuned-xsum
245 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
phoen1x's picture
phoen1x
Update README.md
2618c34 verified about 2 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.67 kB
    Update README.md about 2 years ago
  • config.json
    1.61 kB
    add model about 3 years ago
  • special_tokens_map.json
    2.2 kB
    add tokenizer about 3 years ago
  • tf_model.h5
    242 MB
    xet
    add model about 3 years ago
  • tokenizer.json
    2.42 MB
    add tokenizer about 3 years ago
  • tokenizer_config.json
    2.39 kB
    add tokenizer about 3 years ago