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k4black
/
Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor

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

Instructions to use k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor")
    model = AutoModelForSeq2SeqLM.from_pretrained("k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor")
  • Notebooks
  • Google Colab
  • Kaggle
Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor
244 MB
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  • 1 contributor
History: 19 commits
k4black's picture
k4black
update model card README.md
0782c07 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 about 3 years ago
  • README.md
    3.43 kB
    update model card README.md about 3 years ago
  • config.json
    1.62 kB
    Training in progress, step 500 about 3 years ago
  • generation_config.json
    133 Bytes
    Model save about 3 years ago
  • merges.txt
    294 kB
    Training in progress, step 500 about 3 years ago
  • pytorch_model.bin
    242 MB
    xet
    Model save about 3 years ago
  • special_tokens_map.json
    15.5 kB
    Training in progress, step 500 about 3 years ago
  • tokenizer.json
    1.37 MB
    Training in progress, step 500 about 3 years ago
  • tokenizer_config.json
    1.48 kB
    Training in progress, step 500 about 3 years ago
  • training_args.bin
    3.89 kB
    xet
    Training in progress, step 500 about 3 years ago
  • vocab.json
    511 kB
    Training in progress, step 500 about 3 years ago