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arefm
/
refine_suggestions_codet5-base

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

Instructions to use arefm/refine_suggestions_codet5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arefm/refine_suggestions_codet5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("arefm/refine_suggestions_codet5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("arefm/refine_suggestions_codet5-base")
  • Notebooks
  • Google Colab
  • Kaggle
refine_suggestions_codet5-base
893 MB
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  • 1 contributor
History: 2 commits
arefm's picture
arefm
Upload 8 files
26b15a8 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    25 Bytes
    initial commit about 3 years ago
  • config.json
    1.62 kB
    Upload 8 files about 3 years ago
  • generation_config.json
    133 Bytes
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  • merges.txt
    294 kB
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  • pytorch_model.bin
    892 MB
    xet
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  • special_tokens_map.json
    15.5 kB
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  • tokenizer_config.json
    1.44 kB
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  • training_args.bin
    3.71 kB
    xet
    Upload 8 files about 3 years ago
  • vocab.json
    639 kB
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