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formermagic
/
codet5-small

Transformers
PyTorch
JAX
TensorBoard
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use formermagic/codet5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use formermagic/codet5-small with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5-small")
    model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5-small")
  • Notebooks
  • Google Colab
  • Kaggle
codet5-small
720 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mozharovsky's picture
mozharovsky
feat: add tensorboard logs
770eff8 over 4 years ago
  • logs
    feat: add tensorboard logs over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • .gitignore
    9 Bytes
    feat: add model files over 4 years ago
  • config.json
    692 Bytes
    feat: add model files over 4 years ago
  • flax_model.msgpack
    308 MB
    xet
    feat: add model files over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    308 MB
    xet
    feat: add model files over 4 years ago
  • special_tokens_map.json
    1.79 kB
    feat: add model files over 4 years ago
  • tokenizer.json
    864 kB
    feat: add model files over 4 years ago
  • tokenizer_config.json
    1.86 kB
    feat: add model files over 4 years ago