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dessertlab
/
offensive-powershell-codet5p-220m-py

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

Instructions to use dessertlab/offensive-powershell-codet5p-220m-py with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dessertlab/offensive-powershell-codet5p-220m-py with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("dessertlab/offensive-powershell-codet5p-220m-py")
    model = AutoModelForSeq2SeqLM.from_pretrained("dessertlab/offensive-powershell-codet5p-220m-py")
  • Notebooks
  • Google Colab
  • Kaggle
offensive-powershell-codet5p-220m-py
894 MB
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  • 1 contributor
History: 4 commits
LucianPi's picture
LucianPi
Update README.md
bb4b14d verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    169 Bytes
    Update README.md about 2 years ago
  • config.json
    819 Bytes
    Upload T5ForConditionalGeneration about 2 years ago
  • generation_config.json
    163 Bytes
    Upload T5ForConditionalGeneration about 2 years ago
  • merges.txt
    294 kB
    Upload tokenizer about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Upload T5ForConditionalGeneration about 2 years ago
  • special_tokens_map.json
    15.5 kB
    Upload tokenizer about 2 years ago
  • tokenizer.json
    1.37 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    22 kB
    Upload tokenizer about 2 years ago
  • vocab.json
    511 kB
    Upload tokenizer about 2 years ago