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Cegil
/
code_generation

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

Instructions to use Cegil/code_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cegil/code_generation with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Cegil/code_generation")
    model = AutoModelForSeq2SeqLM.from_pretrained("Cegil/code_generation")
  • Notebooks
  • Google Colab
  • Kaggle
code_generation
447 MB
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  • 1 contributor
History: 3 commits
Cegil's picture
Cegil
Upload 5 files
c8f45fb verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • added_tokens.json
    2 Bytes
    Upload 5 files about 2 years ago
  • config.json
    771 Bytes
    Upload 5 files about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.HalfStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    446 MB
    xet
    Upload pytorch_model.bin about 2 years ago
  • special_tokens_map.json
    12.5 kB
    Upload 5 files about 2 years ago
  • tokenizer_config.json
    1.48 kB
    Upload 5 files about 2 years ago
  • vocab.json
    703 kB
    Upload 5 files about 2 years ago