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lmeninato
/
mt5-small-codesearchnet-python3

Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use lmeninato/mt5-small-codesearchnet-python3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lmeninato/mt5-small-codesearchnet-python3 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("lmeninato/mt5-small-codesearchnet-python3")
    model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/mt5-small-codesearchnet-python3")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-small-codesearchnet-python3
2.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b468e59 verified over 1 year ago
  • logs
    initial commit about 3 years ago
  • .gitattributes
    1.58 kB
    initial commit about 3 years ago
  • README.md
    1.84 kB
    initial commit about 3 years ago
  • config.json
    773 Bytes
    initial commit about 3 years ago
  • generation_config.json
    142 Bytes
    initial commit about 3 years ago
  • model.safetensors
    1.2 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.2 GB
    xet
    initial commit about 3 years ago
  • special_tokens_map.json
    74 Bytes
    initial commit about 3 years ago
  • spiece.model
    4.31 MB
    xet
    initial commit about 3 years ago
  • tokenizer.json
    16.3 MB
    initial commit about 3 years ago
  • tokenizer_config.json
    285 Bytes
    initial commit about 3 years ago