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unicamp-dl
/
InRanker-3B

Transformers
PyTorch
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use unicamp-dl/InRanker-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use unicamp-dl/InRanker-3B with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/InRanker-3B")
    model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/InRanker-3B")
  • Notebooks
  • Google Colab
  • Kaggle
InRanker-3B
11.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
thiagolaitz's picture
thiagolaitz
Update README.md
949a992 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.83 kB
    Update README.md over 1 year ago
  • config.json
    1.61 kB
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  • generation_config.json
    142 Bytes
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  • pytorch_model-00001-of-00002.bin
    9.73 GB
    xet
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  • pytorch_model-00002-of-00002.bin
    1.81 GB
    xet
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  • pytorch_model.bin.index.json
    46.1 kB
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  • special_tokens_map.json
    2.2 kB
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  • spiece.model
    792 kB
    xet
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  • tokenizer_config.json
    2.34 kB
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