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Deepu1965
/
xsum-t5-base

Transformers
Safetensors
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Deepu1965/xsum-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Deepu1965/xsum-t5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Deepu1965/xsum-t5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("Deepu1965/xsum-t5-base")
  • Notebooks
  • Google Colab
  • Kaggle
xsum-t5-base
895 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Deepu1965's picture
Deepu1965
Upload tokenizer
b17a6f6 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.17 kB
    Upload T5ForConditionalGeneration 7 months ago
  • config.json
    1.51 kB
    Upload T5ForConditionalGeneration 7 months ago
  • generation_config.json
    112 Bytes
    Upload T5ForConditionalGeneration 7 months ago
  • model.safetensors
    892 MB
    xet
    Upload T5ForConditionalGeneration 7 months ago
  • special_tokens_map.json
    2.2 kB
    Upload tokenizer 7 months ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer 7 months ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    20.7 kB
    Upload tokenizer 7 months ago