Instructions to use nuojohnchen/codet5-base-finetuned-clone-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nuojohnchen/codet5-base-finetuned-clone-detection with Transformers:
# Load model directly from transformers import AutoTokenizer, CodeT5ForCodeClassification tokenizer = AutoTokenizer.from_pretrained("nuojohnchen/codet5-base-finetuned-clone-detection") model = CodeT5ForCodeClassification.from_pretrained("nuojohnchen/codet5-base-finetuned-clone-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5a39d5424e3f62379dd01a8b61b0f19456e48d084618579096e8765d5d2859b
- Size of remote file:
- 896 MB
- SHA256:
- 0f808860c46cccf59622c90d412d2efc5eda6bf9c69fe0fe5e49a44013ab9268
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