Instructions to use Non-SHADovcy/synthetic-cpp-code-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Non-SHADovcy/synthetic-cpp-code-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Non-SHADovcy/synthetic-cpp-code-detection", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Non-SHADovcy/synthetic-cpp-code-detection", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9a112159db59c274dae5de64f7cb54c15a48168f6e488c1f96079973f319a37
- Size of remote file:
- 499 MB
- SHA256:
- 0c94ca7e08bd34951550a6c2c61636d94a5fb4a5720bb3396bec73877132590c
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