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lintang
/
pile-t5-base-codexglue

Transformers
Safetensors
umt5
text2text-generation
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use lintang/pile-t5-base-codexglue with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("lintang/pile-t5-base-codexglue")
    model = AutoModelForSeq2SeqLM.from_pretrained("lintang/pile-t5-base-codexglue")
  • Notebooks
  • Google Colab
  • Kaggle
pile-t5-base-codexglue
991 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
lintang's picture
lintang
add files for finetuning on python
87dba40 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    792 Bytes
    add files for finetuning on python over 2 years ago
  • generation_config.json
    156 Bytes
    add files for finetuning on python over 2 years ago
  • model.safetensors
    990 MB
    xet
    add files for finetuning on python over 2 years ago
  • special_tokens_map.json
    2.22 kB
    add files for finetuning on python over 2 years ago
  • spiece.model
    500 kB
    xet
    add files for finetuning on python over 2 years ago
  • tokenizer_config.json
    2.37 kB
    add files for finetuning on python over 2 years ago