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
- Xet hash:
- 7c3074ee496d256858dc690eaa33756051df47ba0a0068e4fac41a19e62ad95c
- Size of remote file:
- 892 MB
- SHA256:
- 1875cc2b8b6ca3a84ee197dddbe58c97f95377c78990b46309ff17393bc2fafc
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