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0x70DA
/
t5-v1_1-base-finetuned-sci_summ

Summarization
Transformers
google-tensorflow TensorFlow
t5
text2text-generation
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

Instructions to use 0x70DA/t5-v1_1-base-finetuned-sci_summ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 0x70DA/t5-v1_1-base-finetuned-sci_summ 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="0x70DA/t5-v1_1-base-finetuned-sci_summ")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("0x70DA/t5-v1_1-base-finetuned-sci_summ")
    model = AutoModelForSeq2SeqLM.from_pretrained("0x70DA/t5-v1_1-base-finetuned-sci_summ", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-v1_1-base-finetuned-sci_summ
1.19 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
MahmoudH's picture
MahmoudH
Update README.md
a951986 over 3 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • special_tokens_map.json
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  • spiece.model
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  • tf_model.h5
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    xet
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  • tokenizer.json
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  • tokenizer_config.json
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